SLA (1).ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oe9vkEvFABbN"
      },
      "source": [
        "# Team SLA"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CjpPg4mGKc1v",
        "outputId": "13e332e5-b2f2-4379-e088-87cb74182b17"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CPU\n",
            "Setup complete ✅ (2 CPUs, 12.7 GB RAM, 23.3/107.7 GB disk)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n",
            "/content\n",
            "2023-05-20 05:47:01.141616: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-05-20 05:47:02.062850: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CPU\n",
            "YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs\n",
            "image 1/1 /content/drive/MyDrive/Data/3.jpg: 640x384 3 bottles, 3 cups, 1 knife, 1 chair, 3 couchs, 1 potted plant, 1 dining table, 2 vases, 1 scissors, 12 teddy bears, 105.0ms\n",
            "Speed: 1.3ms pre-process, 105.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)\n",
            "Results saved to \u001b[1mruns/detect/predict10\u001b[0m\n",
            "1 label saved to runs/detect/predict10/labels\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "HOME = os.getcwd()\n",
        "print(HOME)\n",
        "!pip install ultralytics==8.0.20\n",
        "\n",
        "from IPython import display\n",
        "display.clear_output()\n",
        "\n",
        "import ultralytics\n",
        "ultralytics.checks()\n",
        "from ultralytics import YOLO\n",
        "\n",
        "from IPython.display import display, Image\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "%cd {HOME}\n",
        "!yolo task=detect mode=predict model=yolov8n.pt conf=0.05 source='/content/drive/MyDrive/Data/3.jpg' save=True save_txt=True"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd {HOME}\n",
        "Image(filename='runs/detect/predict10/3.jpg', height=600)\n"
      ],
      "metadata": {
        "id": "v109IBuxeWyN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "outputId": "a55f11c3-c049-4378-ba6f-95457b4af63d"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "image/jpeg": {
              "height": 600
            }
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "path=\"runs/detect/predict10/labels/3.txt\"\n",
        "myfile=open(path,\"r\")\n",
        "harmful=[43,42,76]\n",
        "harmless=[49,47,59,60,57,51,41,45,58,77,39,]\n",
        "count0=count1=count2=0\n",
        "for line in myfile:\n",
        "        if int(line[:2])in harmless:\n",
        "            count0+=1\n",
        "        elif int(line[:2])in harmful:\n",
        "            count1+=1\n",
        "  \n",
        "        \n",
        "myfile.close()\n",
        "print(\"Harmless objects: \",count0)\n",
        "print(\"Harmful objects: \",count1)\n",
        "print(\"Total Objects: \",count1+count0)"
      ],
      "metadata": {
        "id": "DRO-PlFXebFK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "af7c720b-64e3-4664-cda2-f543f750f4af"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Harmless objects:  23\n",
            "Harmful objects:  2\n",
            "Total Objects:  25\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BSd93ZJzZZKt",
        "outputId": "39e2916f-88ab-442b-b75d-5f63a4f4b787"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/datasets/datasets\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "HOME = os.getcwd()\n",
        "!mkdir {HOME}/datasets\n",
        "%cd {HOME}/datasets"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install roboflow\n",
        "\n",
        "from roboflow import Roboflow\n",
        "rf = Roboflow(api_key=\"dIa1Q7p7MUF0u0CvXM1w\")\n",
        "project = rf.workspace(\"humanoid-x-slat-vit\").project(\"team-sla\")\n",
        "dataset = project.version(3).download(\"yolov8\")\n"
      ],
      "metadata": {
        "id": "qFi1vmk6NlCg",
        "outputId": "4e54d140-4826-4b83-cddb-1914726c3056",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: roboflow in /usr/local/lib/python3.10/dist-packages (1.0.9)\n",
            "Requirement already satisfied: certifi==2022.12.7 in /usr/local/lib/python3.10/dist-packages (from roboflow) (2022.12.7)\n",
            "Requirement already satisfied: chardet==4.0.0 in /usr/local/lib/python3.10/dist-packages (from roboflow) (4.0.0)\n",
            "Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.10/dist-packages (from roboflow) (0.10.0)\n",
            "Requirement already satisfied: idna==2.10 in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.10)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.4.4)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from roboflow) (3.7.1)\n",
            "Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.22.4)\n",
            "Requirement already satisfied: opencv-python>=4.1.2 in /usr/local/lib/python3.10/dist-packages (from roboflow) (4.7.0.72)\n",
            "Requirement already satisfied: Pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from roboflow) (8.4.0)\n",
            "Requirement already satisfied: pyparsing==2.4.7 in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.4.7)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.8.2)\n",
            "Requirement already satisfied: python-dotenv in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.0.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from roboflow) (2.27.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.16.0)\n",
            "Requirement already satisfied: urllib3>=1.26.6 in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.26.15)\n",
            "Requirement already satisfied: wget in /usr/local/lib/python3.10/dist-packages (from roboflow) (3.2)\n",
            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.10/dist-packages (from roboflow) (4.65.0)\n",
            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from roboflow) (6.0)\n",
            "Requirement already satisfied: requests-toolbelt in /usr/local/lib/python3.10/dist-packages (from roboflow) (1.0.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (1.0.7)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (4.39.3)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->roboflow) (23.1)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->roboflow) (2.0.12)\n",
            "loading Roboflow workspace...\n",
            "loading Roboflow project...\n",
            "Downloading Dataset Version Zip in Team-SLA-3 to yolov8: 100% [53877273 / 53877273] bytes\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Extracting Dataset Version Zip to Team-SLA-3 in yolov8:: 100%|██████████| 2254/2254 [00:00<00:00, 3430.00it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YUjFBKKqXa-u"
      },
      "source": [
        "## Custom Training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D2YkphuiaE7_",
        "outputId": "9fd7e411-8c6d-41da-d659-03248618091b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/datasets\n",
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "\u001b[34m\u001b[1myolo/engine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8s.yaml, data=/content/datasets/datasets/Team-SLA-3/data.yaml, epochs=100, patience=50, batch=16, imgsz=540, save=True, cache=False, device=, workers=8, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=True, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, overlap_mask=True, mask_ratio=4, dropout=False, val=True, save_json=False, save_hybrid=False, conf=0.001, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=ultralytics/assets/, show=False, save_txt=False, save_conf=False, save_crop=False, hide_labels=False, hide_conf=False, vid_stride=1, line_thickness=3, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=17, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.001, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, fl_gamma=0.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, v5loader=False, save_dir=runs/detect/train2\n",
            "2023-05-19 23:58:16.241011: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-05-19 23:58:17.126196: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Overriding model.yaml nc=80 with nc=36\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1       928  ultralytics.nn.modules.Conv                  [3, 32, 3, 2]                 \n",
            "  1                  -1  1     18560  ultralytics.nn.modules.Conv                  [32, 64, 3, 2]                \n",
            "  2                  -1  1     29056  ultralytics.nn.modules.C2f                   [64, 64, 1, True]             \n",
            "  3                  -1  1     73984  ultralytics.nn.modules.Conv                  [64, 128, 3, 2]               \n",
            "  4                  -1  2    197632  ultralytics.nn.modules.C2f                   [128, 128, 2, True]           \n",
            "  5                  -1  1    295424  ultralytics.nn.modules.Conv                  [128, 256, 3, 2]              \n",
            "  6                  -1  2    788480  ultralytics.nn.modules.C2f                   [256, 256, 2, True]           \n",
            "  7                  -1  1   1180672  ultralytics.nn.modules.Conv                  [256, 512, 3, 2]              \n",
            "  8                  -1  1   1838080  ultralytics.nn.modules.C2f                   [512, 512, 1, True]           \n",
            "  9                  -1  1    656896  ultralytics.nn.modules.SPPF                  [512, 512, 5]                 \n",
            " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 11             [-1, 6]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
            " 12                  -1  1    591360  ultralytics.nn.modules.C2f                   [768, 256, 1]                 \n",
            " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 14             [-1, 4]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
            " 15                  -1  1    148224  ultralytics.nn.modules.C2f                   [384, 128, 1]                 \n",
            " 16                  -1  1    147712  ultralytics.nn.modules.Conv                  [128, 128, 3, 2]              \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
            " 18                  -1  1    493056  ultralytics.nn.modules.C2f                   [384, 256, 1]                 \n",
            " 19                  -1  1    590336  ultralytics.nn.modules.Conv                  [256, 256, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.Concat                [1]                           \n",
            " 21                  -1  1   1969152  ultralytics.nn.modules.C2f                   [768, 512, 1]                 \n",
            " 22        [15, 18, 21]  1   2129980  ultralytics.nn.modules.Detect                [36, [128, 256, 512]]         \n",
            "Model summary: 225 layers, 11149532 parameters, 11149516 gradients, 28.7 GFLOPs\n",
            "\n",
            "Transferred 349/355 items from pretrained weights\n",
            "WARNING ⚠️ --img-size [540] must be multiple of max stride 32, updating to [544]\n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.001), 63 bias\n",
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/datasets/datasets/Team-SLA-3/train/labels.cache... 782 images, 2 backgrounds, 0 corrupt: 100% 782/782 [00:00<?, ?it/s]\n",
            "WARNING ⚠️ Box and segment counts should be equal, but got len(segments) = 14, len(boxes) = 2069. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/datasets/datasets/Team-SLA-3/valid/labels.cache... 219 images, 0 backgrounds, 0 corrupt: 100% 219/219 [00:00<?, ?it/s]\n",
            "WARNING ⚠️ Box and segment counts should be equal, but got len(segments) = 4, len(boxes) = 535. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.\n",
            "Image sizes 544 train, 544 val\n",
            "Using 2 dataloader workers\n",
            "Logging results to \u001b[1mruns/detect/train2\u001b[0m\n",
            "Starting training for 100 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      1/100      3.57G      1.113      3.203       1.48         72        544: 100% 49/49 [00:32<00:00,  1.50it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.69it/s]\n",
            "                   all        219        535      0.666      0.265      0.228       0.16\n",
            "                     -        219          7          1          0     0.0317     0.0131\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.498      0.512      0.413      0.278\n",
            "                banana        219         55      0.477      0.909      0.723      0.445\n",
            "                   bed        219          2          1          0    0.00192    0.00135\n",
            "                  bowl        219          1          1          0    0.00607    0.00337\n",
            "                carrot        219          6          1          0          0          0\n",
            "                  fork        219         24      0.238      0.583      0.236      0.168\n",
            "                 knife        219        125       0.57       0.72      0.628       0.44\n",
            "                orange        219        141      0.337      0.241      0.353      0.268\n",
            "                pillow        219         97       0.46      0.289      0.324      0.216\n",
            "                 pilow        219          9          1          0     0.0199     0.0163\n",
            "                 pizza        219          1          0          0   0.000789   0.000631\n",
            "              scissors        219         22      0.403      0.727      0.687       0.55\n",
            "                  sofa        219          3          1          0          0          0\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      2/100      4.35G     0.9952      1.766      1.359         85        544: 100% 49/49 [00:28<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.80it/s]\n",
            "                   all        219        535      0.836      0.315       0.36      0.261\n",
            "                     -        219          7          1          0     0.0154    0.00636\n",
            "                 Onion        219          1          1          0   0.000657   0.000526\n",
            "                 apple        219         41      0.643      0.615      0.704      0.538\n",
            "                banana        219         55      0.726      0.509      0.682      0.415\n",
            "                   bed        219          2          1          0     0.0169    0.00587\n",
            "                  bowl        219          1          1          0    0.00413    0.00372\n",
            "                carrot        219          6          1          0          0          0\n",
            "                  fork        219         24      0.761      0.708      0.818      0.588\n",
            "                 knife        219        125      0.827      0.767      0.851      0.638\n",
            "                orange        219        141       0.59      0.823      0.719      0.538\n",
            "                pillow        219         97      0.578      0.438      0.502      0.328\n",
            "                 pilow        219          9          1          0      0.101     0.0622\n",
            "                 pizza        219          1          1          0          0          0\n",
            "              scissors        219         22      0.409      0.864      0.872      0.757\n",
            "                  sofa        219          3          1          0      0.109     0.0386\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      3/100      4.35G     0.9819      1.588       1.32         68        544: 100% 49/49 [00:28<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.55it/s]\n",
            "                   all        219        535      0.759      0.312      0.395      0.263\n",
            "                     -        219          7          1          0      0.105     0.0342\n",
            "                 Onion        219          1          1          0      0.166      0.133\n",
            "                 apple        219         41      0.331      0.756      0.646      0.519\n",
            "                banana        219         55      0.729      0.345      0.517      0.291\n",
            "                   bed        219          2          1          0     0.0251     0.0137\n",
            "                  bowl        219          1          1          0    0.00236    0.00212\n",
            "                carrot        219          6          1          0          0          0\n",
            "                  fork        219         24      0.561      0.667      0.701      0.475\n",
            "                 knife        219        125      0.611      0.624      0.647      0.481\n",
            "                orange        219        141      0.638      0.617      0.625      0.455\n",
            "                pillow        219         97      0.413      0.588      0.467      0.303\n",
            "                 pilow        219          9          1          0      0.557      0.308\n",
            "                 pizza        219          1          1          0          0          0\n",
            "              scissors        219         22      0.693      0.409      0.693       0.55\n",
            "                  sofa        219          3      0.407      0.667      0.775      0.373\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      4/100      4.35G      1.045      1.597      1.347         76        544: 100% 49/49 [00:26<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.30it/s]\n",
            "                   all        219        535      0.708      0.296      0.288       0.19\n",
            "                     -        219          7          1          0     0.0117    0.00352\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.479      0.561      0.555      0.431\n",
            "                banana        219         55      0.639       0.58      0.628      0.357\n",
            "                   bed        219          2          1          0     0.0955     0.0491\n",
            "                  bowl        219          1          1          0    0.00344     0.0031\n",
            "                carrot        219          6          1          0    0.00778    0.00398\n",
            "                  fork        219         24      0.661      0.292      0.458      0.309\n",
            "                 knife        219        125      0.313      0.744      0.494       0.31\n",
            "                orange        219        141      0.524      0.837      0.587      0.429\n",
            "                pillow        219         97      0.407      0.567      0.464      0.302\n",
            "                 pilow        219          9          1          0      0.076     0.0432\n",
            "                 pizza        219          1          1          0          0          0\n",
            "              scissors        219         22      0.603      0.864      0.835      0.562\n",
            "                  sofa        219          3          0          0      0.106     0.0479\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      5/100      4.35G      1.066      1.566      1.365         80        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.682      0.288      0.301      0.186\n",
            "                     -        219          7          1          0     0.0264     0.0056\n",
            "                 Onion        219          1          1          0     0.0829      0.058\n",
            "                 apple        219         41      0.177      0.902      0.675      0.487\n",
            "                banana        219         55      0.412      0.709      0.606      0.335\n",
            "                   bed        219          2          1          0    0.00671    0.00147\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0335     0.0115\n",
            "                  fork        219         24      0.802      0.583      0.767      0.441\n",
            "                 knife        219        125      0.383      0.648      0.478      0.286\n",
            "                orange        219        141      0.674      0.489      0.587      0.438\n",
            "                pillow        219         97      0.376      0.443      0.349      0.188\n",
            "                 pilow        219          9          1          0      0.337      0.203\n",
            "                 pizza        219          1          1          0          0          0\n",
            "              scissors        219         22      0.401      0.545      0.513      0.301\n",
            "                  sofa        219          3          0          0      0.061     0.0403\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      6/100      4.35G      1.057      1.414      1.345         67        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.88it/s]\n",
            "                   all        219        535      0.566      0.481      0.438      0.272\n",
            "                     -        219          7          1          0    0.00972     0.0033\n",
            "                 Onion        219          1     0.0826          1      0.332      0.232\n",
            "                 apple        219         41      0.307      0.854      0.732      0.522\n",
            "                banana        219         55      0.322      0.891      0.632      0.347\n",
            "                   bed        219          2          1          0      0.512     0.0646\n",
            "                  bowl        219          1          1          0     0.0117    0.00936\n",
            "                carrot        219          6          1          0     0.0107    0.00414\n",
            "                  fork        219         24      0.405      0.875       0.75      0.535\n",
            "                 knife        219        125      0.454      0.776      0.677       0.43\n",
            "                orange        219        141        0.5      0.816      0.673       0.47\n",
            "                pillow        219         97      0.531      0.536      0.499      0.282\n",
            "                 pilow        219          9      0.584      0.222      0.384      0.235\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.478      0.909      0.847      0.622\n",
            "                  sofa        219          3      0.821      0.333      0.504      0.322\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      7/100      4.35G      1.084      1.428      1.354         90        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.81it/s]\n",
            "                   all        219        535      0.775      0.299      0.338       0.21\n",
            "                     -        219          7          1          0     0.0231    0.00687\n",
            "                 Onion        219          1          1          0     0.0149     0.0119\n",
            "                 apple        219         41      0.672      0.805      0.785      0.545\n",
            "                banana        219         55      0.584      0.636      0.664      0.371\n",
            "                   bed        219          2          1          0      0.161     0.0613\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0    0.00583    0.00278\n",
            "                  fork        219         24      0.757       0.65      0.693      0.368\n",
            "                 knife        219        125      0.737      0.568      0.672      0.381\n",
            "                orange        219        141      0.528       0.73      0.586      0.432\n",
            "                pillow        219         97      0.546      0.408      0.491      0.296\n",
            "                 pilow        219          9          1          0     0.0818     0.0538\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.795      0.682      0.803      0.564\n",
            "                  sofa        219          3          1          0      0.085     0.0531\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      8/100      4.35G      1.057       1.37      1.343         65        544: 100% 49/49 [00:27<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.23it/s]\n",
            "                   all        219        535       0.67      0.353      0.403      0.254\n",
            "                     -        219          7          1          0     0.0308    0.00979\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.591      0.683      0.705      0.512\n",
            "                banana        219         55      0.581      0.745      0.682      0.415\n",
            "                   bed        219          2          1          0       0.39      0.138\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          0          0    0.00676    0.00247\n",
            "                  fork        219         24      0.766       0.75      0.784       0.49\n",
            "                 knife        219        125      0.674      0.816       0.79      0.504\n",
            "                orange        219        141      0.552      0.837      0.751      0.557\n",
            "                pillow        219         97      0.549      0.443      0.493      0.302\n",
            "                 pilow        219          9          1          0      0.146     0.0845\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.484      0.682      0.688      0.329\n",
            "                  sofa        219          3      0.852      0.333      0.577      0.462\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "      9/100      4.35G      1.072      1.372      1.347         75        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.66it/s]\n",
            "                   all        219        535      0.623      0.306      0.316      0.199\n",
            "                     -        219          7          1          0     0.0302    0.00926\n",
            "                 Onion        219          1          1          0     0.0203     0.0142\n",
            "                 apple        219         41      0.235      0.756      0.504      0.385\n",
            "                banana        219         55      0.574      0.691      0.652      0.361\n",
            "                   bed        219          2          1          0      0.166      0.116\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          0          0    0.00659    0.00356\n",
            "                  fork        219         24          1      0.109       0.72      0.393\n",
            "                 knife        219        125      0.725      0.608      0.679      0.417\n",
            "                orange        219        141      0.443      0.645      0.452      0.326\n",
            "                pillow        219         97      0.478      0.245      0.325      0.181\n",
            "                 pilow        219          9          1          0      0.212      0.147\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.518      0.864      0.703      0.466\n",
            "                  sofa        219          3      0.373      0.667      0.274      0.167\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     10/100      4.35G      1.035      1.329      1.334         58        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535      0.695      0.333       0.37      0.254\n",
            "                     -        219          7          1          0     0.0376     0.0133\n",
            "                 Onion        219          1          0          0     0.0038    0.00228\n",
            "                 apple        219         41      0.603      0.488      0.517      0.407\n",
            "                banana        219         55      0.612      0.691      0.629      0.357\n",
            "                   bed        219          2          1          0       0.18       0.11\n",
            "                  bowl        219          1          1          0    0.00387    0.00348\n",
            "                carrot        219          6          1          0     0.0162    0.00607\n",
            "                  fork        219         24       0.77      0.625      0.702      0.517\n",
            "                 knife        219        125      0.552       0.73       0.69      0.432\n",
            "                orange        219        141      0.593      0.578       0.62      0.439\n",
            "                pillow        219         97      0.615      0.577       0.55      0.342\n",
            "                 pilow        219          9          1          0      0.202      0.143\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.726      0.636      0.719      0.564\n",
            "                  sofa        219          3      0.949      0.667       0.68      0.469\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     11/100      4.35G      1.008      1.311      1.328         65        544: 100% 49/49 [00:28<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.86it/s]\n",
            "                   all        219        535      0.564      0.363      0.382      0.248\n",
            "                     -        219          7          1          0     0.0116    0.00586\n",
            "                 Onion        219          1          0          0     0.0474     0.0332\n",
            "                 apple        219         41       0.52      0.659      0.622      0.448\n",
            "                banana        219         55       0.61      0.764      0.738      0.392\n",
            "                   bed        219          2          0          0      0.284      0.155\n",
            "                  bowl        219          1          1          0    0.00646    0.00646\n",
            "                carrot        219          6          1          0    0.00511    0.00153\n",
            "                  fork        219         24      0.854      0.458      0.741      0.513\n",
            "                 knife        219        125      0.656      0.762      0.768        0.5\n",
            "                orange        219        141      0.551      0.827      0.663      0.492\n",
            "                pillow        219         97      0.591       0.58      0.592      0.361\n",
            "                 pilow        219          9          1          0      0.263       0.18\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.471      0.864      0.704      0.429\n",
            "                  sofa        219          3      0.208      0.536      0.287      0.198\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     12/100      4.35G      1.032      1.268      1.332         82        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.73it/s]\n",
            "                   all        219        535       0.65      0.321      0.379      0.254\n",
            "                     -        219          7          1          0     0.0197    0.00891\n",
            "                 Onion        219          1          1          0     0.0553     0.0442\n",
            "                 apple        219         41      0.402      0.754      0.703      0.545\n",
            "                banana        219         55      0.605      0.695      0.638       0.38\n",
            "                   bed        219          2          1          0     0.0882     0.0327\n",
            "                  bowl        219          1          1          0    0.00395    0.00355\n",
            "                carrot        219          6          0          0     0.0301     0.0194\n",
            "                  fork        219         24          1      0.187      0.716      0.448\n",
            "                 knife        219        125      0.593      0.744      0.741      0.494\n",
            "                orange        219        141      0.597      0.777      0.686      0.522\n",
            "                pillow        219         97      0.615      0.443      0.494      0.292\n",
            "                 pilow        219          9          1          0      0.274      0.175\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.493      0.545      0.564      0.436\n",
            "                  sofa        219          3      0.452      0.667      0.666      0.406\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     13/100      4.35G      1.026      1.233       1.32         56        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.23it/s]\n",
            "                   all        219        535      0.634      0.365      0.369      0.245\n",
            "                     -        219          7          1          0     0.0185    0.00979\n",
            "                 Onion        219          1      0.148          1      0.166      0.116\n",
            "                 apple        219         41      0.243      0.732       0.36      0.271\n",
            "                banana        219         55      0.642      0.457       0.66      0.376\n",
            "                   bed        219          2          1          0     0.0995     0.0172\n",
            "                  bowl        219          1          1          0    0.00304    0.00304\n",
            "                carrot        219          6          0          0      0.013    0.00614\n",
            "                  fork        219         24      0.854      0.708      0.836      0.612\n",
            "                 knife        219        125      0.727       0.68       0.75       0.45\n",
            "                orange        219        141      0.683      0.519       0.65      0.492\n",
            "                pillow        219         97      0.672      0.515      0.544      0.342\n",
            "                 pilow        219          9          1          0      0.196      0.113\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.547      0.864      0.872      0.622\n",
            "                  sofa        219          3          1          0      0.362      0.247\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     14/100      4.35G      1.019      1.211       1.33         93        544: 100% 49/49 [00:26<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.44it/s]\n",
            "                   all        219        535      0.627      0.447      0.458      0.304\n",
            "                     -        219          7          1          0     0.0251     0.0126\n",
            "                 Onion        219          1          1          0    0.00783    0.00627\n",
            "                 apple        219         41      0.553       0.78      0.717      0.516\n",
            "                banana        219         55      0.426      0.909       0.73       0.41\n",
            "                   bed        219          2          1          0      0.137     0.0763\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6        0.2     0.0666     0.0933     0.0336\n",
            "                  fork        219         24      0.749      0.833      0.883      0.643\n",
            "                 knife        219        125      0.626      0.842      0.797      0.499\n",
            "                orange        219        141      0.621      0.768      0.699      0.529\n",
            "                pillow        219         97      0.604      0.649      0.579      0.363\n",
            "                 pilow        219          9          1      0.565      0.896      0.573\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.404      0.955      0.856      0.591\n",
            "                  sofa        219          3      0.227      0.333      0.445      0.312\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     15/100      4.35G      1.002      1.245      1.316         76        544: 100% 49/49 [00:27<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.648       0.35      0.387      0.244\n",
            "                     -        219          7          1          0     0.0308     0.0102\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.628      0.805      0.801        0.6\n",
            "                banana        219         55      0.653      0.513      0.627      0.317\n",
            "                   bed        219          2          1          0      0.135     0.0961\n",
            "                  bowl        219          1          1          0    0.00553    0.00497\n",
            "                carrot        219          6          1          0          0          0\n",
            "                  fork        219         24      0.372      0.917      0.829      0.445\n",
            "                 knife        219        125      0.864      0.558       0.72      0.454\n",
            "                orange        219        141      0.553      0.794      0.661      0.488\n",
            "                pillow        219         97      0.626      0.474      0.514      0.307\n",
            "                 pilow        219          9          1          0      0.314      0.213\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.529      0.864       0.82       0.54\n",
            "                  sofa        219          3      0.493      0.329      0.344      0.178\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     16/100      4.35G     0.9938      1.197      1.298         77        544: 100% 49/49 [00:28<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.86it/s]\n",
            "                   all        219        535      0.699      0.376      0.435      0.301\n",
            "                     -        219          7          1          0     0.0279     0.0106\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.444      0.878      0.777      0.575\n",
            "                banana        219         55      0.575      0.764      0.678      0.394\n",
            "                   bed        219          2          1          0      0.497      0.336\n",
            "                  bowl        219          1          1          0     0.0055    0.00343\n",
            "                carrot        219          6          1          0     0.0154    0.00853\n",
            "                  fork        219         24      0.973      0.625      0.894      0.604\n",
            "                 knife        219        125      0.839      0.664       0.81      0.537\n",
            "                orange        219        141      0.636      0.682      0.705      0.511\n",
            "                pillow        219         97      0.663      0.447      0.482      0.304\n",
            "                 pilow        219          9          1          0      0.251      0.173\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.701      0.909      0.925      0.712\n",
            "                  sofa        219          3      0.651      0.667      0.455      0.348\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     17/100      4.35G      1.007      1.206      1.309         77        544: 100% 49/49 [00:27<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.60it/s]\n",
            "                   all        219        535      0.707      0.306      0.386       0.25\n",
            "                     -        219          7          1          0     0.0205     0.0069\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.501      0.634      0.543      0.388\n",
            "                banana        219         55          1      0.137      0.488      0.265\n",
            "                   bed        219          2          1          0      0.249     0.0503\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          0          0    0.00215   0.000971\n",
            "                  fork        219         24          1      0.762      0.892      0.637\n",
            "                 knife        219        125       0.51       0.88      0.726      0.492\n",
            "                orange        219        141      0.531      0.816      0.669      0.496\n",
            "                pillow        219         97      0.658      0.412      0.421      0.262\n",
            "                 pilow        219          9          1          0      0.543      0.379\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.77      0.609      0.797      0.535\n",
            "                  sofa        219          3      0.629      0.333      0.446       0.23\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     18/100      4.35G     0.9801      1.163      1.297         65        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.29it/s]\n",
            "                   all        219        535      0.826       0.32      0.421       0.28\n",
            "                     -        219          7          1          0     0.0303    0.00946\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41       0.88       0.78      0.835      0.588\n",
            "                banana        219         55      0.739      0.567       0.66      0.382\n",
            "                   bed        219          2          1          0     0.0513     0.0307\n",
            "                  bowl        219          1          1          0    0.00716    0.00644\n",
            "                carrot        219          6          1          0      0.101     0.0139\n",
            "                  fork        219         24      0.951      0.792      0.878      0.594\n",
            "                 knife        219        125      0.752       0.75      0.789      0.498\n",
            "                orange        219        141      0.703      0.637      0.719      0.564\n",
            "                pillow        219         97      0.661      0.278      0.479      0.294\n",
            "                 pilow        219          9          1          0       0.37      0.246\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.71          1      0.958      0.623\n",
            "                  sofa        219          3          1          0      0.431       0.35\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     19/100      4.35G     0.9676      1.104      1.293         60        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.87it/s]\n",
            "                   all        219        535      0.708      0.366      0.442      0.305\n",
            "                     -        219          7          1          0      0.028     0.0099\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41       0.43       0.78      0.758      0.584\n",
            "                banana        219         55      0.683        0.8      0.747      0.442\n",
            "                   bed        219          2          0          0      0.181      0.107\n",
            "                  bowl        219          1          1          0     0.0136     0.0123\n",
            "                carrot        219          6          1          0       0.03    0.00713\n",
            "                  fork        219         24      0.676      0.833      0.866      0.613\n",
            "                 knife        219        125      0.918       0.63      0.876      0.587\n",
            "                orange        219        141      0.671      0.752      0.745       0.56\n",
            "                pillow        219         97       0.67      0.502      0.593      0.395\n",
            "                 pilow        219          9          1          0      0.271      0.157\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.873      0.864      0.939      0.692\n",
            "                  sofa        219          3      0.695      0.333      0.578      0.406\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     20/100      4.35G     0.9503        1.1      1.271         61        544: 100% 49/49 [00:27<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535       0.65      0.378      0.414      0.294\n",
            "                     -        219          7          1          0     0.0187    0.00806\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.261      0.829      0.551      0.423\n",
            "                banana        219         55       0.67        0.8      0.785      0.445\n",
            "                   bed        219          2          0          0     0.0948     0.0432\n",
            "                  bowl        219          1          1          0    0.00865    0.00865\n",
            "                carrot        219          6          1          0    0.00511    0.00214\n",
            "                  fork        219         24      0.836      0.958      0.978       0.71\n",
            "                 knife        219        125      0.755      0.887      0.889      0.677\n",
            "                orange        219        141      0.706      0.532      0.628      0.488\n",
            "                pillow        219         97      0.655      0.469      0.524      0.336\n",
            "                 pilow        219          9          1          0      0.187      0.121\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.95      0.864      0.954      0.679\n",
            "                  sofa        219          3      0.917      0.333      0.582      0.472\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     21/100      4.35G     0.9901      1.112      1.302         73        544: 100% 49/49 [00:27<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.757      0.403      0.412      0.276\n",
            "                     -        219          7          1          0     0.0219    0.00803\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.375      0.756      0.643      0.482\n",
            "                banana        219         55       0.71      0.745      0.725      0.418\n",
            "                   bed        219          2          1          0      0.202     0.0641\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0123     0.0051\n",
            "                  fork        219         24      0.653      0.958      0.959      0.673\n",
            "                 knife        219        125      0.808      0.872      0.885      0.627\n",
            "                orange        219        141      0.522      0.791      0.573      0.426\n",
            "                pillow        219         97      0.608      0.629      0.567      0.371\n",
            "                 pilow        219          9          1          0      0.205      0.123\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.803      0.955      0.959      0.645\n",
            "                  sofa        219          3      0.874      0.333      0.426      0.296\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     22/100      4.35G     0.9511      1.073      1.271         69        544: 100% 49/49 [00:27<00:00,  1.79it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.57it/s]\n",
            "                   all        219        535      0.706      0.427      0.417      0.283\n",
            "                     -        219          7          1          0     0.0586     0.0163\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.815      0.707      0.791      0.598\n",
            "                banana        219         55      0.657      0.673      0.687      0.316\n",
            "                   bed        219          2      0.237      0.474      0.146     0.0711\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0122    0.00596\n",
            "                  fork        219         24      0.915      0.875      0.917      0.634\n",
            "                 knife        219        125      0.891      0.632      0.806      0.524\n",
            "                orange        219        141      0.526      0.857      0.708      0.541\n",
            "                pillow        219         97       0.68      0.526      0.607      0.412\n",
            "                 pilow        219          9          1          0      0.102     0.0578\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.609          1       0.91      0.625\n",
            "                  sofa        219          3      0.259      0.667      0.515      0.443\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     23/100      4.35G     0.9559      1.033      1.278         96        544: 100% 49/49 [00:26<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.21it/s]\n",
            "                   all        219        535      0.784      0.391      0.434      0.299\n",
            "                     -        219          7          1          0     0.0239    0.00828\n",
            "                 Onion        219          1          1          0    0.00691    0.00553\n",
            "                 apple        219         41      0.805      0.707      0.764      0.526\n",
            "                banana        219         55      0.759      0.691        0.8      0.477\n",
            "                   bed        219          2          1          0      0.105     0.0512\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0246    0.00852\n",
            "                  fork        219         24      0.797      0.917      0.905      0.565\n",
            "                 knife        219        125       0.74      0.888      0.887      0.645\n",
            "                orange        219        141      0.623      0.787      0.696       0.52\n",
            "                pillow        219         97      0.722      0.401      0.527      0.337\n",
            "                 pilow        219          9          1          0      0.205      0.129\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.898      0.805      0.912      0.701\n",
            "                  sofa        219          3      0.411      0.667      0.654      0.505\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     24/100      4.35G     0.9363      1.016      1.264         98        544: 100% 49/49 [00:28<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.89it/s]\n",
            "                   all        219        535      0.743       0.41      0.443       0.32\n",
            "                     -        219          7          1          0      0.023     0.0101\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41       0.48       0.78      0.745      0.575\n",
            "                banana        219         55      0.672      0.691      0.698       0.39\n",
            "                   bed        219          2          1          0      0.135     0.0692\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0232     0.0106\n",
            "                  fork        219         24      0.914       0.89      0.928       0.71\n",
            "                 knife        219        125      0.807      0.832      0.869      0.648\n",
            "                orange        219        141      0.546      0.837      0.722      0.549\n",
            "                pillow        219         97      0.663      0.536       0.59        0.4\n",
            "                 pilow        219          9          1          0      0.435      0.277\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.833      0.955      0.969      0.761\n",
            "                  sofa        219          3      0.237      0.626      0.515      0.396\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     25/100      4.35G     0.9376      1.033      1.264         75        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.86it/s]\n",
            "                   all        219        535      0.742      0.357      0.424      0.307\n",
            "                     -        219          7          1          0     0.0285     0.0088\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.857      0.732      0.763      0.611\n",
            "                banana        219         55      0.743      0.636      0.716      0.426\n",
            "                   bed        219          2          1          0      0.186      0.112\n",
            "                  bowl        219          1          1          0    0.00607    0.00121\n",
            "                carrot        219          6          1          0       0.07    0.00995\n",
            "                  fork        219         24      0.787       0.77      0.895      0.618\n",
            "                 knife        219        125      0.892      0.793      0.903      0.646\n",
            "                orange        219        141      0.691      0.714      0.749      0.581\n",
            "                pillow        219         97      0.695      0.423      0.565      0.378\n",
            "                 pilow        219          9          1          0      0.179      0.117\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.809      0.955      0.923      0.731\n",
            "                  sofa        219          3       0.65      0.333      0.371      0.359\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     26/100      4.35G     0.9267     0.9939      1.252         54        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.76it/s]\n",
            "                   all        219        535      0.782       0.37      0.454      0.303\n",
            "                     -        219          7          1          0     0.0125    0.00432\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.633      0.683      0.741       0.55\n",
            "                banana        219         55      0.746      0.764      0.754      0.481\n",
            "                   bed        219          2          1          0      0.251       0.15\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.343     0.0721\n",
            "                  fork        219         24      0.891       0.75      0.826      0.562\n",
            "                 knife        219        125      0.829      0.856      0.885      0.645\n",
            "                orange        219        141      0.608      0.738      0.691      0.505\n",
            "                pillow        219         97      0.733      0.546      0.582      0.344\n",
            "                 pilow        219          9          1          0      0.437      0.276\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.951      0.887      0.965      0.721\n",
            "                  sofa        219          3      0.333      0.333       0.33      0.235\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     27/100      4.35G     0.9133       0.99      1.254         68        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.21it/s]\n",
            "                   all        219        535      0.654      0.352      0.434      0.307\n",
            "                     -        219          7          1          0      0.025    0.00873\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.649      0.634      0.687      0.513\n",
            "                banana        219         55      0.771      0.674      0.764      0.443\n",
            "                   bed        219          2          0          0      0.109     0.0449\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0    0.00913    0.00289\n",
            "                  fork        219         24      0.874      0.868      0.923      0.668\n",
            "                 knife        219        125      0.804       0.88      0.894      0.656\n",
            "                orange        219        141      0.617      0.723       0.68      0.501\n",
            "                pillow        219         97      0.667      0.536      0.578       0.37\n",
            "                 pilow        219          9          1          0      0.421      0.288\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22          1      0.625       0.98      0.721\n",
            "                  sofa        219          3      0.424      0.333      0.434      0.393\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     28/100      4.35G     0.9156      1.009      1.266         59        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.57it/s]\n",
            "                   all        219        535      0.798      0.385      0.478      0.335\n",
            "                     -        219          7          1          0     0.0202    0.00626\n",
            "                 Onion        219          1          1          0     0.0102    0.00812\n",
            "                 apple        219         41      0.684      0.756      0.771      0.574\n",
            "                banana        219         55      0.855      0.748      0.858      0.546\n",
            "                   bed        219          2          1          0      0.126     0.0856\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.114     0.0322\n",
            "                  fork        219         24      0.871      0.843      0.914      0.662\n",
            "                 knife        219        125      0.863      0.859      0.892      0.665\n",
            "                orange        219        141      0.592      0.752      0.728      0.551\n",
            "                pillow        219         97      0.673       0.66      0.627      0.422\n",
            "                 pilow        219          9          1          0      0.762      0.478\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22          1      0.818      0.955      0.704\n",
            "                  sofa        219          3       0.43      0.333      0.395      0.299\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     29/100      4.35G     0.9094     0.9682      1.255        100        544: 100% 49/49 [00:28<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.88it/s]\n",
            "                   all        219        535      0.675       0.43       0.49      0.338\n",
            "                     -        219          7          1          0     0.0171     0.0065\n",
            "                 Onion        219          1          1          0     0.0284     0.0227\n",
            "                 apple        219         41      0.623      0.805       0.76      0.544\n",
            "                banana        219         55      0.549      0.891      0.789      0.443\n",
            "                   bed        219          2          0          0      0.133     0.0371\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.284      0.147\n",
            "                  fork        219         24       0.89      0.917      0.933      0.687\n",
            "                 knife        219        125      0.833       0.88      0.908      0.691\n",
            "                orange        219        141      0.573      0.823      0.725      0.556\n",
            "                pillow        219         97      0.613      0.649      0.669      0.453\n",
            "                 pilow        219          9      0.682      0.243      0.745      0.426\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.833      0.908      0.947      0.717\n",
            "                  sofa        219          3      0.529      0.333      0.417      0.338\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     30/100      4.35G     0.9079     0.9501       1.24         89        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535      0.633      0.461      0.457      0.312\n",
            "                     -        219          7          1          0     0.0145    0.00322\n",
            "                 Onion        219          1          1          0     0.0474     0.0332\n",
            "                 apple        219         41      0.443      0.854      0.828      0.625\n",
            "                banana        219         55      0.597      0.781      0.709       0.39\n",
            "                   bed        219          2      0.235      0.352      0.265      0.192\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.125     0.0255\n",
            "                  fork        219         24      0.747      0.917      0.941      0.727\n",
            "                 knife        219        125      0.692       0.88      0.889      0.635\n",
            "                orange        219        141      0.483      0.872      0.659       0.49\n",
            "                pillow        219         97      0.564      0.639      0.657      0.463\n",
            "                 pilow        219          9      0.958      0.333      0.571      0.296\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.578      0.955      0.944      0.655\n",
            "                  sofa        219          3      0.193      0.333      0.211      0.148\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     31/100      4.35G     0.8794     0.9483      1.235        108        544: 100% 49/49 [00:27<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.65it/s]\n",
            "                   all        219        535      0.622      0.434      0.466      0.333\n",
            "                     -        219          7          0          0     0.0261     0.0106\n",
            "                 Onion        219          1          1          0     0.0184     0.0147\n",
            "                 apple        219         41      0.552      0.805      0.788      0.594\n",
            "                banana        219         55      0.652      0.851      0.777      0.465\n",
            "                   bed        219          2          0          0      0.153     0.0977\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.117     0.0439\n",
            "                  fork        219         24          1      0.862      0.941      0.755\n",
            "                 knife        219        125      0.796       0.88      0.899      0.639\n",
            "                orange        219        141      0.497      0.887      0.623       0.46\n",
            "                pillow        219         97      0.663      0.608      0.627       0.42\n",
            "                 pilow        219          9          1          0      0.657      0.429\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.677      0.955      0.927       0.74\n",
            "                  sofa        219          3      0.498      0.663      0.443      0.323\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     32/100      4.35G     0.9224     0.9894      1.262         64        544: 100% 49/49 [00:26<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.22it/s]\n",
            "                   all        219        535      0.686      0.364      0.415      0.291\n",
            "                     -        219          7          1          0      0.186     0.0784\n",
            "                 Onion        219          1          1          0     0.0153     0.0122\n",
            "                 apple        219         41      0.463      0.707      0.583      0.427\n",
            "                banana        219         55      0.714      0.815      0.783       0.45\n",
            "                   bed        219          2          0          0      0.121     0.0457\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0978     0.0135\n",
            "                  fork        219         24      0.923      0.792      0.904      0.688\n",
            "                 knife        219        125      0.862       0.75       0.86      0.645\n",
            "                orange        219        141      0.587      0.675      0.637        0.5\n",
            "                pillow        219         97      0.677      0.519      0.653      0.432\n",
            "                 pilow        219          9          1          0      0.342      0.211\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.825      0.864      0.908       0.76\n",
            "                  sofa        219          3      0.237      0.333      0.142        0.1\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     33/100      4.35G     0.9015      0.959      1.256         44        544: 100% 49/49 [00:26<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.57it/s]\n",
            "                   all        219        535      0.772      0.403      0.436      0.308\n",
            "                     -        219          7          1          0     0.0447     0.0122\n",
            "                 Onion        219          1          1          0     0.0415     0.0332\n",
            "                 apple        219         41      0.849      0.686      0.764      0.613\n",
            "                banana        219         55      0.748      0.691      0.745      0.417\n",
            "                   bed        219          2          1          0      0.141      0.102\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0859     0.0441\n",
            "                  fork        219         24      0.928      0.917      0.957       0.72\n",
            "                 knife        219        125      0.772      0.856      0.862      0.599\n",
            "                orange        219        141      0.557       0.78        0.6      0.427\n",
            "                pillow        219         97      0.697      0.499      0.617      0.435\n",
            "                 pilow        219          9          1          0      0.273      0.168\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.815      0.955      0.922      0.717\n",
            "                  sofa        219          3       0.21      0.667      0.492      0.331\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     34/100      4.35G     0.8957     0.9238       1.23         80        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.784      0.368      0.448       0.33\n",
            "                     -        219          7          1          0     0.0959     0.0305\n",
            "                 Onion        219          1          1          0     0.0343     0.0274\n",
            "                 apple        219         41      0.829      0.707      0.779      0.612\n",
            "                banana        219         55      0.787      0.673      0.791      0.477\n",
            "                   bed        219          2          1          0      0.166      0.115\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0478      0.025\n",
            "                  fork        219         24      0.851      0.833      0.936      0.732\n",
            "                 knife        219        125      0.846      0.838      0.893      0.646\n",
            "                orange        219        141      0.591      0.748      0.732      0.562\n",
            "                pillow        219         97      0.737      0.519      0.688      0.478\n",
            "                 pilow        219          9          1          0      0.182      0.117\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.915      0.864      0.945      0.803\n",
            "                  sofa        219          3      0.206      0.333       0.43      0.331\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     35/100      4.35G     0.8607      0.915      1.203        101        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.82it/s]\n",
            "                   all        219        535      0.513      0.428      0.407      0.298\n",
            "                     -        219          7          1          0     0.0378     0.0133\n",
            "                 Onion        219          1          1          0     0.0116    0.00926\n",
            "                 apple        219         41      0.531      0.854      0.772      0.585\n",
            "                banana        219         55      0.596      0.887      0.794      0.489\n",
            "                   bed        219          2          0          0     0.0948      0.037\n",
            "                  bowl        219          1          0          0    0.00454   0.000454\n",
            "                carrot        219          6          1          0     0.0185     0.0108\n",
            "                  fork        219         24      0.721      0.958      0.897      0.669\n",
            "                 knife        219        125      0.787      0.896      0.898      0.671\n",
            "                orange        219        141      0.518      0.879      0.703      0.537\n",
            "                pillow        219         97      0.643      0.608      0.615       0.43\n",
            "                 pilow        219          9          0          0      0.199      0.111\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.657          1      0.923      0.808\n",
            "                  sofa        219          3      0.248      0.333      0.133     0.0992\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     36/100      4.35G     0.8832     0.9187       1.22         61        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.70it/s]\n",
            "                   all        219        535      0.518      0.452      0.459      0.337\n",
            "                     -        219          7          1          0     0.0938     0.0394\n",
            "                 Onion        219          1          0          0     0.0142    0.00995\n",
            "                 apple        219         41      0.667      0.831      0.836      0.636\n",
            "                banana        219         55       0.73      0.836      0.809      0.521\n",
            "                   bed        219          2      0.172        0.5       0.17      0.101\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          0          0      0.012    0.00338\n",
            "                  fork        219         24      0.747      0.833      0.896      0.687\n",
            "                 knife        219        125       0.73      0.848      0.886      0.655\n",
            "                orange        219        141      0.608      0.879      0.635      0.481\n",
            "                pillow        219         97      0.689      0.686      0.637      0.431\n",
            "                 pilow        219          9      0.371     0.0823      0.507      0.288\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.899      0.955      0.985      0.833\n",
            "                  sofa        219          3      0.156      0.333      0.401       0.37\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     37/100      4.35G       0.85     0.8732      1.199         53        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.21it/s]\n",
            "                   all        219        535      0.801      0.388      0.456      0.329\n",
            "                     -        219          7          1          0      0.034     0.0148\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.798      0.771      0.818      0.641\n",
            "                banana        219         55      0.789      0.749      0.821      0.491\n",
            "                   bed        219          2          1          0     0.0687     0.0425\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0488     0.0151\n",
            "                  fork        219         24      0.899      0.875      0.965      0.796\n",
            "                 knife        219        125      0.864      0.896      0.909      0.673\n",
            "                orange        219        141      0.613      0.809      0.708      0.534\n",
            "                pillow        219         97      0.734      0.484      0.595      0.408\n",
            "                 pilow        219          9          1          0      0.418      0.246\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.897      0.909      0.934      0.682\n",
            "                  sofa        219          3      0.423      0.333      0.521      0.393\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     38/100      4.35G     0.8376      0.845      1.208         76        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.69it/s]\n",
            "                   all        219        535      0.807      0.357      0.443      0.324\n",
            "                     -        219          7          1          0      0.065     0.0318\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.866      0.633      0.774      0.593\n",
            "                banana        219         55      0.715      0.618      0.715      0.466\n",
            "                   bed        219          2          1          0      0.155      0.094\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0183    0.00661\n",
            "                  fork        219         24      0.921      0.875      0.949      0.762\n",
            "                 knife        219        125      0.887      0.704       0.85      0.626\n",
            "                orange        219        141      0.619      0.747      0.695      0.522\n",
            "                pillow        219         97      0.765      0.577      0.689      0.482\n",
            "                 pilow        219          9          1          0      0.369      0.245\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.895      0.864      0.933      0.701\n",
            "                  sofa        219          3      0.438      0.333      0.438      0.335\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     39/100      4.35G     0.8435     0.8591       1.21         87        544: 100% 49/49 [00:27<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.80it/s]\n",
            "                   all        219        535      0.772      0.371      0.449       0.31\n",
            "                     -        219          7          1          0     0.0218     0.0103\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.823      0.683      0.797      0.598\n",
            "                banana        219         55      0.771      0.818       0.81       0.47\n",
            "                   bed        219          2          1          0      0.152     0.0899\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0       0.19     0.0398\n",
            "                  fork        219         24      0.916      0.958      0.957      0.688\n",
            "                 knife        219        125      0.829      0.848      0.886      0.628\n",
            "                orange        219        141      0.605      0.624      0.636       0.48\n",
            "                pillow        219         97      0.686      0.443      0.575      0.392\n",
            "                 pilow        219          9          1          0      0.346      0.211\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.794      0.864      0.935      0.778\n",
            "                  sofa        219          3      0.164      0.333      0.428      0.264\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     40/100      4.35G     0.8495     0.8485      1.205         81        544: 100% 49/49 [00:28<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.82it/s]\n",
            "                   all        219        535      0.553      0.357      0.384      0.273\n",
            "                     -        219          7          1          0     0.0101    0.00325\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.794      0.683      0.777      0.568\n",
            "                banana        219         55      0.784      0.727      0.711      0.424\n",
            "                   bed        219          2          0          0      0.149     0.0729\n",
            "                  bowl        219          1          0          0    0.00957    0.00861\n",
            "                carrot        219          6          1          0     0.0207     0.0172\n",
            "                  fork        219         24      0.768      0.826      0.885      0.689\n",
            "                 knife        219        125      0.777      0.848      0.874      0.632\n",
            "                orange        219        141      0.559      0.637      0.587      0.429\n",
            "                pillow        219         97      0.714      0.495        0.6      0.379\n",
            "                 pilow        219          9      0.216      0.222      0.185      0.108\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.686      0.909      0.897      0.716\n",
            "                  sofa        219          3          0          0     0.0593     0.0437\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     41/100      4.35G     0.8474     0.8768      1.211         89        544: 100% 49/49 [00:28<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.35it/s]\n",
            "                   all        219        535      0.672      0.372       0.41      0.297\n",
            "                     -        219          7          1          0    0.00864    0.00375\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.856      0.707      0.849      0.632\n",
            "                banana        219         55       0.62      0.836      0.778      0.491\n",
            "                   bed        219          2          0          0     0.0526     0.0352\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.873      0.167      0.196     0.0415\n",
            "                  fork        219         24      0.845      0.917      0.955      0.763\n",
            "                 knife        219        125      0.841      0.848      0.885      0.683\n",
            "                orange        219        141      0.545      0.844      0.672      0.518\n",
            "                pillow        219         97      0.715      0.485      0.595      0.417\n",
            "                 pilow        219          9          1          0       0.13     0.0704\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.784      0.773      0.899      0.737\n",
            "                  sofa        219          3          0          0      0.136     0.0694\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     42/100      4.35G     0.8124     0.8289      1.193         60        544: 100% 49/49 [00:26<00:00,  1.82it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.42it/s]\n",
            "                   all        219        535      0.699      0.364      0.418      0.304\n",
            "                     -        219          7          1          0     0.0254    0.00916\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.775      0.732      0.814      0.617\n",
            "                banana        219         55      0.791      0.826      0.831      0.506\n",
            "                   bed        219          2          1          0     0.0511     0.0358\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0       0.18     0.0577\n",
            "                  fork        219         24      0.854      0.917      0.924      0.713\n",
            "                 knife        219        125      0.869      0.847      0.883      0.681\n",
            "                orange        219        141      0.613      0.865      0.759      0.581\n",
            "                pillow        219         97      0.732      0.451      0.577      0.412\n",
            "                 pilow        219          9          1          0      0.176      0.106\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.857      0.818      0.884      0.705\n",
            "                  sofa        219          3          0          0      0.171      0.132\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     43/100      4.35G     0.8358     0.8359      1.202         64        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535      0.518      0.392      0.421      0.303\n",
            "                     -        219          7          0          0     0.0284     0.0123\n",
            "                 Onion        219          1          0          0      0.016     0.0128\n",
            "                 apple        219         41      0.713      0.787      0.783      0.595\n",
            "                banana        219         55      0.722        0.8      0.854      0.501\n",
            "                   bed        219          2          0          0     0.0993     0.0615\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0       0.23     0.0409\n",
            "                  fork        219         24      0.828      0.917      0.923      0.732\n",
            "                 knife        219        125      0.911      0.821      0.889      0.681\n",
            "                orange        219        141      0.622      0.794      0.693      0.543\n",
            "                pillow        219         97      0.704      0.526      0.565      0.398\n",
            "                 pilow        219          9          0          0      0.123     0.0728\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.952      0.905      0.933       0.73\n",
            "                  sofa        219          3      0.318      0.333      0.184      0.158\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     44/100      4.35G     0.8013     0.7905      1.181         63        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.576      0.365      0.429       0.31\n",
            "                     -        219          7          0          0     0.0398     0.0156\n",
            "                 Onion        219          1          0          0     0.0302     0.0211\n",
            "                 apple        219         41       0.86      0.732      0.859      0.619\n",
            "                banana        219         55      0.692      0.818      0.811       0.53\n",
            "                   bed        219          2          0          0      0.136      0.088\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.122     0.0674\n",
            "                  fork        219         24      0.933      0.917      0.955      0.783\n",
            "                 knife        219        125      0.937      0.839      0.928      0.702\n",
            "                orange        219        141      0.603       0.73      0.697      0.533\n",
            "                pillow        219         97      0.732      0.536       0.65      0.471\n",
            "                 pilow        219          9          1          0      0.119     0.0714\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.876      0.909      0.949      0.646\n",
            "                  sofa        219          3          0          0      0.142      0.103\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     45/100      4.35G     0.7962     0.7881      1.172         53        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.704      0.421       0.45      0.334\n",
            "                     -        219          7          1          0    0.00472    0.00141\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.751       0.78      0.815       0.63\n",
            "                banana        219         55      0.669      0.881      0.768      0.501\n",
            "                   bed        219          2          1          0      0.171      0.142\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0    0.00921    0.00276\n",
            "                  fork        219         24      0.958      0.953      0.959      0.758\n",
            "                 knife        219        125      0.881       0.88       0.88      0.705\n",
            "                orange        219        141      0.639      0.723      0.727      0.562\n",
            "                pillow        219         97       0.67      0.523      0.597       0.42\n",
            "                 pilow        219          9       0.49      0.222      0.353      0.196\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.837      0.702      0.905      0.694\n",
            "                  sofa        219          3      0.659      0.651      0.567      0.393\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     46/100      4.35G     0.8123     0.7938      1.193         68        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.41it/s]\n",
            "                   all        219        535      0.705      0.402      0.439      0.325\n",
            "                     -        219          7          1          0     0.0279     0.0107\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.649      0.805      0.766      0.602\n",
            "                banana        219         55      0.788      0.727      0.816      0.494\n",
            "                   bed        219          2          0          0      0.208      0.128\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0122    0.00609\n",
            "                  fork        219         24      0.957      0.937      0.955      0.723\n",
            "                 knife        219        125      0.856       0.88      0.917      0.706\n",
            "                orange        219        141      0.613       0.78      0.683      0.519\n",
            "                pillow        219         97      0.708      0.525      0.616      0.435\n",
            "                 pilow        219          9      0.732      0.111      0.289      0.205\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.953      0.926      0.989       0.82\n",
            "                  sofa        219          3      0.316      0.333       0.31      0.222\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     47/100      4.35G     0.8098     0.7939      1.183         73        544: 100% 49/49 [00:26<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.34it/s]\n",
            "                   all        219        535      0.628      0.451      0.458       0.34\n",
            "                     -        219          7          1          0     0.0196    0.00755\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41       0.68      0.805      0.812      0.626\n",
            "                banana        219         55      0.683      0.862      0.816      0.483\n",
            "                   bed        219          2      0.299      0.448      0.248      0.144\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0375     0.0188\n",
            "                  fork        219         24      0.804      0.917      0.933      0.741\n",
            "                 knife        219        125      0.815      0.936       0.94      0.729\n",
            "                orange        219        141      0.525      0.872      0.697      0.531\n",
            "                pillow        219         97      0.666      0.588      0.619      0.411\n",
            "                 pilow        219          9          0          0      0.252       0.16\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.745          1      0.992      0.848\n",
            "                  sofa        219          3      0.204      0.333        0.5      0.393\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     48/100      4.35G     0.8005     0.7816       1.17         85        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.88it/s]\n",
            "                   all        219        535      0.638      0.434      0.446       0.34\n",
            "                     -        219          7          1          0     0.0213    0.00952\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.813      0.744      0.821      0.634\n",
            "                banana        219         55      0.723      0.782      0.833      0.543\n",
            "                   bed        219          2      0.242        0.5      0.284      0.171\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0622     0.0321\n",
            "                  fork        219         24      0.739      0.917      0.928      0.761\n",
            "                 knife        219        125      0.789      0.936      0.903      0.689\n",
            "                orange        219        141      0.573      0.865      0.729      0.565\n",
            "                pillow        219         97      0.666      0.472      0.573      0.406\n",
            "                 pilow        219          9          1          0      0.108     0.0782\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.808      0.956      0.978      0.834\n",
            "                  sofa        219          3      0.223      0.333      0.455      0.373\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     49/100      4.74G     0.7849     0.7527      1.168         75        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.83it/s]\n",
            "                   all        219        535      0.566      0.443      0.454      0.331\n",
            "                     -        219          7          0          0     0.0393     0.0156\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.787       0.78      0.847      0.623\n",
            "                banana        219         55      0.633      0.909      0.842       0.51\n",
            "                   bed        219          2      0.317      0.317      0.414      0.211\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0519     0.0138\n",
            "                  fork        219         24      0.755      0.958      0.927      0.802\n",
            "                 knife        219        125       0.81      0.944      0.938      0.699\n",
            "                orange        219        141      0.539      0.766      0.564      0.427\n",
            "                pillow        219         97      0.643      0.577      0.629      0.419\n",
            "                 pilow        219          9      0.797      0.111      0.418      0.279\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.913      0.951      0.968      0.819\n",
            "                  sofa        219          3      0.301      0.333      0.174      0.144\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     50/100      4.74G     0.8014     0.7637      1.167         68        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.83it/s]\n",
            "                   all        219        535       0.64      0.412      0.433      0.311\n",
            "                     -        219          7          0          0     0.0254     0.0123\n",
            "                 Onion        219          1          0          0     0.0321     0.0257\n",
            "                 apple        219         41      0.785      0.732      0.791      0.605\n",
            "                banana        219         55       0.65       0.81       0.74      0.452\n",
            "                   bed        219          2          1          0      0.199     0.0715\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.028     0.0115\n",
            "                  fork        219         24      0.855      0.875      0.876      0.671\n",
            "                 knife        219        125      0.845       0.92      0.923      0.699\n",
            "                orange        219        141      0.552       0.78      0.593      0.447\n",
            "                pillow        219         97      0.767      0.546      0.624      0.396\n",
            "                 pilow        219          9      0.971      0.222      0.478      0.305\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.87      0.955      0.983      0.818\n",
            "                  sofa        219          3        0.3      0.333      0.207      0.156\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     51/100      4.74G     0.7894     0.7469       1.16         71        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.40it/s]\n",
            "                   all        219        535      0.623       0.39      0.423      0.311\n",
            "                     -        219          7          1          0     0.0238     0.0071\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.792      0.743      0.823      0.632\n",
            "                banana        219         55      0.799      0.745      0.809      0.519\n",
            "                   bed        219          2          0          0      0.162      0.123\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0766     0.0148\n",
            "                  fork        219         24      0.844      0.917      0.952      0.755\n",
            "                 knife        219        125      0.882      0.848      0.905      0.678\n",
            "                orange        219        141      0.655      0.667      0.678       0.51\n",
            "                pillow        219         97      0.709      0.528      0.636      0.408\n",
            "                 pilow        219          9      0.537      0.111      0.154     0.0937\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.894      0.955      0.977      0.818\n",
            "                  sofa        219          3      0.232      0.333      0.148      0.113\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     52/100      4.74G     0.7956     0.7462      1.171         67        544: 100% 49/49 [00:27<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.35it/s]\n",
            "                   all        219        535      0.767      0.407      0.446      0.335\n",
            "                     -        219          7          1          0     0.0213    0.00684\n",
            "                 Onion        219          1          1          0     0.0207     0.0166\n",
            "                 apple        219         41      0.913      0.756      0.867      0.662\n",
            "                banana        219         55      0.777      0.818      0.807      0.526\n",
            "                   bed        219          2          1          0      0.138     0.0827\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.234      0.112\n",
            "                  fork        219         24       0.85      0.942       0.92      0.776\n",
            "                 knife        219        125      0.871      0.912      0.933      0.731\n",
            "                orange        219        141      0.638      0.726       0.68      0.511\n",
            "                pillow        219         97      0.756      0.567      0.668      0.475\n",
            "                 pilow        219          9      0.641      0.111      0.174      0.105\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.873      0.935      0.983      0.852\n",
            "                  sofa        219          3      0.186      0.333      0.244      0.174\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     53/100      4.74G     0.7536     0.7275      1.139         65        544: 100% 49/49 [00:27<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.86it/s]\n",
            "                   all        219        535      0.798       0.39      0.447      0.335\n",
            "                     -        219          7          1          0     0.0357     0.0114\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.765      0.805       0.82      0.635\n",
            "                banana        219         55      0.881      0.782       0.87      0.553\n",
            "                   bed        219          2          1          0      0.179     0.0756\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0829     0.0409\n",
            "                  fork        219         24      0.914      0.886      0.953        0.8\n",
            "                 knife        219        125      0.897      0.904      0.923      0.734\n",
            "                orange        219        141      0.608       0.73      0.704      0.543\n",
            "                pillow        219         97      0.784      0.546       0.65      0.437\n",
            "                 pilow        219          9          1          0     0.0919     0.0639\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.898      0.864      0.968      0.836\n",
            "                  sofa        219          3      0.227      0.333      0.427        0.3\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     54/100      4.74G      0.801     0.7678      1.173         74        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.87it/s]\n",
            "                   all        219        535      0.666      0.451      0.452      0.337\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.687      0.878      0.867      0.664\n",
            "                banana        219         55      0.799      0.866      0.847      0.537\n",
            "                   bed        219          2      0.256        0.5      0.169      0.101\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.233      0.135\n",
            "                  fork        219         24      0.766      0.958      0.943      0.782\n",
            "                 knife        219        125      0.887      0.904      0.952      0.733\n",
            "                orange        219        141      0.597      0.747      0.737      0.556\n",
            "                pillow        219         97      0.736      0.639      0.663      0.441\n",
            "                 pilow        219          9          1          0      0.187       0.13\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.873      0.934      0.977       0.85\n",
            "                  sofa        219          3      0.385      0.333      0.207      0.123\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     55/100      4.74G     0.7619     0.7002      1.141         81        544: 100% 49/49 [00:27<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.89it/s]\n",
            "                   all        219        535      0.653       0.43       0.48      0.357\n",
            "                     -        219          7          0          0     0.0249     0.0106\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.735      0.805      0.808      0.613\n",
            "                banana        219         55      0.774       0.87      0.855      0.569\n",
            "                   bed        219          2          1          0      0.254      0.229\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.384      0.167      0.217      0.141\n",
            "                  fork        219         24      0.848      0.875      0.907      0.744\n",
            "                 knife        219        125      0.876      0.904      0.936      0.716\n",
            "                orange        219        141      0.616      0.702      0.685      0.513\n",
            "                pillow        219         97      0.788      0.574      0.673      0.449\n",
            "                 pilow        219          9      0.832      0.222      0.452      0.276\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.755          1      0.979       0.81\n",
            "                  sofa        219          3      0.183      0.333      0.403      0.278\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     56/100      4.74G     0.7708     0.7145      1.157         70        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.48it/s]\n",
            "                   all        219        535      0.691      0.401      0.438      0.325\n",
            "                     -        219          7          0          0     0.0304     0.0112\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.683      0.805      0.767      0.606\n",
            "                banana        219         55      0.846      0.818       0.85       0.53\n",
            "                   bed        219          2          1          0      0.172      0.155\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.143     0.0606\n",
            "                  fork        219         24      0.945      0.917      0.942      0.736\n",
            "                 knife        219        125       0.92      0.888      0.944      0.731\n",
            "                orange        219        141      0.696      0.624      0.717      0.547\n",
            "                pillow        219         97       0.76      0.536      0.646      0.438\n",
            "                 pilow        219          9      0.328      0.111      0.218      0.147\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.878      0.978      0.962      0.784\n",
            "                  sofa        219          3      0.307      0.333       0.18      0.126\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     57/100      4.74G     0.7766     0.7182      1.159         64        544: 100% 49/49 [00:26<00:00,  1.87it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.31it/s]\n",
            "                   all        219        535      0.657      0.412      0.431      0.316\n",
            "                     -        219          7          1          0     0.0179    0.00505\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.735      0.805      0.841      0.658\n",
            "                banana        219         55      0.825      0.772       0.83      0.534\n",
            "                   bed        219          2      0.239        0.5      0.213      0.123\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.122     0.0251\n",
            "                  fork        219         24      0.882      0.933      0.961      0.763\n",
            "                 knife        219        125      0.919      0.907      0.938      0.689\n",
            "                orange        219        141      0.648      0.723       0.73      0.563\n",
            "                pillow        219         97      0.728      0.546       0.63      0.429\n",
            "                 pilow        219          9          1          0     0.0832      0.054\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.873          1       0.92      0.777\n",
            "                  sofa        219          3          0          0      0.182      0.112\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     58/100      4.74G     0.7534     0.7042      1.143         52        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.88it/s]\n",
            "                   all        219        535      0.617      0.452      0.446      0.324\n",
            "                     -        219          7          1          0     0.0273    0.00954\n",
            "                 Onion        219          1          0          0     0.0237      0.019\n",
            "                 apple        219         41      0.767       0.78      0.828      0.623\n",
            "                banana        219         55       0.75      0.818      0.823      0.514\n",
            "                   bed        219          2      0.472      0.472       0.31      0.194\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.165      0.039\n",
            "                  fork        219         24      0.948      0.958      0.965       0.78\n",
            "                 knife        219        125      0.867      0.936      0.944      0.719\n",
            "                orange        219        141      0.599      0.745      0.676      0.504\n",
            "                pillow        219         97      0.762      0.495      0.615      0.394\n",
            "                 pilow        219          9          0          0      0.108     0.0705\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.813      0.909      0.936      0.792\n",
            "                  sofa        219          3      0.281      0.667      0.269      0.198\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     59/100      4.74G     0.7559     0.6738      1.141         73        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.79it/s]\n",
            "                   all        219        535      0.668       0.43      0.443      0.328\n",
            "                     -        219          7          0          0     0.0153    0.00648\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.782      0.786      0.843      0.676\n",
            "                banana        219         55      0.815       0.72      0.814      0.501\n",
            "                   bed        219          2      0.293        0.5      0.203      0.185\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.158     0.0637\n",
            "                  fork        219         24      0.775      0.917      0.935      0.707\n",
            "                 knife        219        125      0.949      0.891      0.942      0.717\n",
            "                orange        219        141      0.598      0.833      0.725      0.556\n",
            "                pillow        219         97       0.75      0.515      0.633      0.431\n",
            "                 pilow        219          9          1          0      0.247      0.159\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.87      0.955      0.981      0.808\n",
            "                  sofa        219          3      0.191      0.333      0.149      0.115\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     60/100      4.74G     0.7333     0.6809      1.138         55        544: 100% 49/49 [00:27<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535      0.654      0.406      0.441      0.329\n",
            "                     -        219          7          0          0     0.0171    0.00626\n",
            "                 Onion        219          1          0          0     0.0249     0.0199\n",
            "                 apple        219         41       0.79      0.805      0.843      0.687\n",
            "                banana        219         55      0.851      0.727      0.837      0.516\n",
            "                   bed        219          2          1          0     0.0813     0.0488\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.193      0.125\n",
            "                  fork        219         24      0.806      0.917      0.899      0.689\n",
            "                 knife        219        125      0.921      0.912      0.938      0.721\n",
            "                orange        219        141      0.597      0.841      0.748      0.585\n",
            "                pillow        219         97      0.754      0.598      0.657      0.441\n",
            "                 pilow        219          9          1          0      0.174      0.112\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.821      0.955      0.952       0.78\n",
            "                  sofa        219          3      0.272      0.333       0.25       0.21\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     61/100      4.74G     0.7505     0.6648      1.155         74        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.34it/s]\n",
            "                   all        219        535      0.707      0.409      0.461      0.347\n",
            "                     -        219          7          1          0     0.0176    0.00704\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.935      0.702      0.867      0.659\n",
            "                banana        219         55      0.855      0.752      0.827       0.51\n",
            "                   bed        219          2          1          0      0.135      0.122\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.287      0.167      0.191      0.122\n",
            "                  fork        219         24      0.855      0.917      0.951      0.781\n",
            "                 knife        219        125      0.948      0.872      0.941      0.745\n",
            "                orange        219        141      0.695      0.681      0.694      0.537\n",
            "                pillow        219         97       0.77      0.553      0.652      0.453\n",
            "                 pilow        219          9          1          0      0.158      0.103\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.866      0.818      0.934      0.736\n",
            "                  sofa        219          3      0.388      0.667      0.549       0.43\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     62/100      4.74G     0.7509     0.6744      1.143         71        544: 100% 49/49 [00:26<00:00,  1.84it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.41it/s]\n",
            "                   all        219        535      0.548      0.406      0.419      0.322\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.678      0.854      0.839      0.651\n",
            "                banana        219         55      0.818      0.855      0.817      0.537\n",
            "                   bed        219          2          0          0      0.207      0.186\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0794     0.0467\n",
            "                  fork        219         24      0.799      0.875      0.934      0.795\n",
            "                 knife        219        125      0.775      0.904      0.931      0.706\n",
            "                orange        219        141      0.565      0.774      0.711      0.537\n",
            "                pillow        219         97      0.694      0.546       0.61      0.398\n",
            "                 pilow        219          9          0          0      0.107     0.0641\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.706      0.955      0.911      0.785\n",
            "                  sofa        219          3      0.185      0.333      0.144      0.121\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     63/100      4.74G     0.7196     0.6629      1.119         80        544: 100% 49/49 [00:28<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.81it/s]\n",
            "                   all        219        535      0.664      0.394      0.437       0.33\n",
            "                     -        219          7          1          0    0.00988    0.00297\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.822      0.829      0.865      0.652\n",
            "                banana        219         55      0.795      0.776      0.812      0.517\n",
            "                   bed        219          2          0          0      0.398      0.259\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0651     0.0366\n",
            "                  fork        219         24       0.91      0.875      0.929      0.764\n",
            "                 knife        219        125      0.885      0.864      0.904       0.72\n",
            "                orange        219        141      0.636      0.695      0.727      0.561\n",
            "                pillow        219         97       0.75      0.587       0.62       0.42\n",
            "                 pilow        219          9          0          0      0.105     0.0689\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.811      0.955      0.918      0.776\n",
            "                  sofa        219          3      0.349      0.333      0.199      0.171\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     64/100      4.74G     0.7166     0.6642      1.127         62        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.80it/s]\n",
            "                   all        219        535      0.669       0.46      0.464       0.34\n",
            "                     -        219          7          1          0    0.00882    0.00264\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.522      0.878      0.794      0.611\n",
            "                banana        219         55      0.721      0.941      0.809      0.529\n",
            "                   bed        219          2       0.44       0.44      0.414      0.248\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.185     0.0904\n",
            "                  fork        219         24      0.746      0.875      0.923      0.713\n",
            "                 knife        219        125      0.831      0.904      0.922      0.716\n",
            "                orange        219        141      0.538      0.837      0.727      0.557\n",
            "                pillow        219         97      0.702       0.67      0.662      0.444\n",
            "                 pilow        219          9      0.363      0.111      0.326       0.21\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.82      0.909      0.968      0.787\n",
            "                  sofa        219          3       0.36      0.333      0.228       0.19\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     65/100      4.74G     0.7345     0.6647      1.138         64        544: 100% 49/49 [00:28<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.57it/s]\n",
            "                   all        219        535      0.627      0.475      0.504      0.372\n",
            "                     -        219          7          0          0    0.00694    0.00347\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.594      0.829      0.829       0.65\n",
            "                banana        219         55      0.671      0.964      0.845      0.547\n",
            "                   bed        219          2      0.474        0.5      0.695      0.428\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.268      0.132\n",
            "                  fork        219         24      0.784      0.917      0.962      0.787\n",
            "                 knife        219        125      0.829      0.912      0.926      0.724\n",
            "                orange        219        141      0.553      0.816      0.651      0.483\n",
            "                pillow        219         97      0.689       0.66      0.645      0.452\n",
            "                 pilow        219          9      0.593      0.333      0.399      0.236\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.905      0.864      0.963       0.81\n",
            "                  sofa        219          3      0.311      0.333      0.376      0.325\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     66/100      4.74G     0.7097     0.6304      1.115         80        544: 100% 49/49 [00:26<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.24it/s]\n",
            "                   all        219        535      0.673      0.433      0.447      0.338\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41       0.67       0.78      0.776      0.592\n",
            "                banana        219         55      0.843      0.783      0.854      0.552\n",
            "                   bed        219          2      0.437        0.5      0.314       0.22\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.195      0.131\n",
            "                  fork        219         24      0.866      0.833      0.899      0.735\n",
            "                 knife        219        125      0.893      0.934      0.922      0.714\n",
            "                orange        219        141      0.599      0.753      0.668       0.52\n",
            "                pillow        219         97      0.743      0.565      0.627      0.433\n",
            "                 pilow        219          9      0.937      0.111      0.245      0.167\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.87      0.909      0.962      0.819\n",
            "                  sofa        219          3      0.244      0.333      0.239      0.179\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     67/100      4.74G     0.6984     0.6327       1.11         69        544: 100% 49/49 [00:27<00:00,  1.78it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.70it/s]\n",
            "                   all        219        535      0.691      0.459      0.493      0.368\n",
            "                     -        219          7          0          0     0.0134    0.00462\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.666      0.805      0.836      0.647\n",
            "                banana        219         55      0.885      0.843      0.862      0.553\n",
            "                   bed        219          2      0.384        0.5      0.551      0.372\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.208       0.11\n",
            "                  fork        219         24      0.892      0.875      0.938      0.784\n",
            "                 knife        219        125      0.907      0.933      0.942      0.737\n",
            "                orange        219        141      0.603      0.759      0.681      0.521\n",
            "                pillow        219         97      0.751      0.526      0.621      0.432\n",
            "                 pilow        219          9          1          0      0.491      0.327\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.89          1      0.968      0.812\n",
            "                  sofa        219          3      0.392      0.649       0.28      0.216\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     68/100      4.74G     0.7203     0.6235      1.124         66        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.90it/s]\n",
            "                   all        219        535      0.549      0.465      0.465      0.348\n",
            "                     -        219          7          0          0     0.0224    0.00971\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41       0.57      0.829      0.806      0.613\n",
            "                banana        219         55      0.775      0.891      0.864      0.555\n",
            "                   bed        219          2      0.441        0.5      0.262      0.157\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0     0.0652     0.0318\n",
            "                  fork        219         24       0.86      0.917      0.971      0.809\n",
            "                 knife        219        125      0.831      0.936      0.944      0.754\n",
            "                orange        219        141      0.548      0.823      0.729      0.558\n",
            "                pillow        219         97      0.699      0.639      0.637      0.434\n",
            "                 pilow        219          9      0.556      0.148      0.474      0.318\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.698      0.955      0.933      0.771\n",
            "                  sofa        219          3       0.25      0.334      0.272      0.214\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     69/100      4.74G     0.6816     0.6115      1.101         53        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.603      0.467      0.456      0.336\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.505      0.902      0.813      0.616\n",
            "                banana        219         55      0.715      0.927      0.863      0.575\n",
            "                   bed        219          2      0.328      0.492       0.29      0.151\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.135     0.0371\n",
            "                  fork        219         24      0.916      0.908      0.966      0.824\n",
            "                 knife        219        125      0.839      0.936      0.937      0.712\n",
            "                orange        219        141      0.578      0.769      0.664      0.502\n",
            "                pillow        219         97       0.69      0.665      0.615      0.405\n",
            "                 pilow        219          9       0.41      0.111      0.329      0.216\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.805      0.955      0.946      0.781\n",
            "                  sofa        219          3      0.266      0.333       0.28      0.216\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     70/100      4.74G      0.686      0.628      1.113         56        544: 100% 49/49 [00:27<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.78it/s]\n",
            "                   all        219        535       0.63      0.413      0.439      0.328\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.424      0.854      0.767      0.579\n",
            "                banana        219         55      0.763      0.891      0.876      0.581\n",
            "                   bed        219          2          0          0      0.249      0.199\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.158     0.0452\n",
            "                  fork        219         24      0.822      0.917      0.959      0.796\n",
            "                 knife        219        125      0.861      0.891      0.937      0.718\n",
            "                orange        219        141      0.553      0.766      0.623      0.477\n",
            "                pillow        219         97        0.7      0.529        0.6      0.411\n",
            "                 pilow        219          9      0.308      0.111      0.299      0.203\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.771      0.909      0.918      0.765\n",
            "                  sofa        219          3      0.247      0.333      0.194      0.148\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     71/100      4.74G     0.6983     0.6122      1.106         75        544: 100% 49/49 [00:27<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.24it/s]\n",
            "                   all        219        535      0.644      0.458      0.464      0.348\n",
            "                     -        219          7          0          0     0.0139    0.00418\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.587      0.902       0.87      0.682\n",
            "                banana        219         55      0.826      0.864      0.853      0.546\n",
            "                   bed        219          2          1          0      0.359      0.231\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.689      0.167      0.184      0.105\n",
            "                  fork        219         24      0.802      0.917      0.954      0.814\n",
            "                 knife        219        125      0.833       0.96      0.951      0.735\n",
            "                orange        219        141      0.556      0.816       0.68      0.523\n",
            "                pillow        219         97      0.693      0.605      0.621      0.429\n",
            "                 pilow        219          9      0.477      0.106      0.212      0.142\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.827      0.864      0.941      0.789\n",
            "                  sofa        219          3      0.369      0.667      0.328      0.225\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     72/100      4.74G     0.6939     0.6012      1.107         63        544: 100% 49/49 [00:26<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.41it/s]\n",
            "                   all        219        535      0.675      0.463       0.47      0.357\n",
            "                     -        219          7          0          0      0.023     0.0118\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.625      0.878      0.827      0.669\n",
            "                banana        219         55      0.779      0.745      0.821       0.54\n",
            "                   bed        219          2       0.43       0.43      0.359      0.266\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.212      0.136\n",
            "                  fork        219         24      0.836      0.958      0.942      0.808\n",
            "                 knife        219        125      0.887      0.952      0.945      0.728\n",
            "                orange        219        141      0.572      0.773      0.681      0.525\n",
            "                pillow        219         97      0.656      0.639      0.632      0.414\n",
            "                 pilow        219          9          1          0       0.24      0.158\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.942      0.909      0.964      0.797\n",
            "                  sofa        219          3      0.393      0.667      0.409      0.298\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     73/100      4.74G      0.659     0.5989      1.097         91        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.82it/s]\n",
            "                   all        219        535      0.682      0.485      0.488      0.369\n",
            "                     -        219          7          0          0     0.0193    0.00749\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.545      0.878      0.807      0.642\n",
            "                banana        219         55      0.718      0.836      0.827      0.533\n",
            "                   bed        219          2      0.879        0.5      0.662      0.416\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.227      0.138\n",
            "                  fork        219         24      0.846      0.958      0.947      0.828\n",
            "                 knife        219        125      0.833      0.944      0.936       0.74\n",
            "                orange        219        141      0.553      0.837      0.674      0.512\n",
            "                pillow        219         97       0.65      0.701      0.625      0.426\n",
            "                 pilow        219          9          1          0      0.306      0.205\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.892      0.955       0.95      0.797\n",
            "                  sofa        219          3      0.313      0.667      0.345      0.289\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     74/100      4.74G      0.664     0.5882      1.096         97        544: 100% 49/49 [00:28<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.586      0.498      0.478      0.355\n",
            "                     -        219          7          0          0    0.00927    0.00371\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.422      0.829      0.704       0.55\n",
            "                banana        219         55      0.816      0.891      0.864      0.574\n",
            "                   bed        219          2      0.783        0.5      0.638      0.369\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6       0.28       0.14     0.0773     0.0444\n",
            "                  fork        219         24       0.85      0.917      0.978      0.863\n",
            "                 knife        219        125      0.835      0.936      0.955      0.761\n",
            "                orange        219        141      0.524      0.816      0.679      0.518\n",
            "                pillow        219         97      0.645       0.67      0.629      0.413\n",
            "                 pilow        219          9      0.564      0.154      0.387      0.254\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.821      0.955      0.946      0.755\n",
            "                  sofa        219          3      0.252      0.667       0.31      0.214\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     75/100      4.74G     0.6797     0.5902      1.105         96        544: 100% 49/49 [00:28<00:00,  1.74it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.89it/s]\n",
            "                   all        219        535      0.593      0.495      0.473      0.346\n",
            "                     -        219          7          0          0    0.00804    0.00402\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.662      0.756      0.776      0.585\n",
            "                banana        219         55      0.757      0.873      0.868       0.56\n",
            "                   bed        219          2      0.257        0.5      0.308      0.154\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.446      0.167      0.232      0.109\n",
            "                  fork        219         24      0.868      0.917      0.963      0.826\n",
            "                 knife        219        125       0.84      0.936      0.943      0.719\n",
            "                orange        219        141      0.577      0.794        0.7      0.531\n",
            "                pillow        219         97      0.661      0.639      0.641      0.433\n",
            "                 pilow        219          9       0.67      0.226      0.422      0.282\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.848      0.955      0.955      0.777\n",
            "                  sofa        219          3      0.306      0.667      0.274       0.21\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     76/100      4.74G     0.6692     0.5983      1.099         71        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.75it/s]\n",
            "                   all        219        535      0.506      0.489       0.46      0.343\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.415      0.902      0.783      0.636\n",
            "                banana        219         55      0.691      0.873      0.862       0.55\n",
            "                   bed        219          2      0.477      0.477      0.267       0.16\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.533      0.167      0.205      0.109\n",
            "                  fork        219         24      0.849      0.917      0.969      0.836\n",
            "                 knife        219        125      0.744      0.936      0.919      0.727\n",
            "                orange        219        141       0.53      0.823      0.681      0.518\n",
            "                pillow        219         97      0.695      0.639      0.615      0.419\n",
            "                 pilow        219          9      0.455      0.111      0.355      0.233\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.914      0.955      0.958      0.791\n",
            "                  sofa        219          3      0.283      0.541      0.288      0.172\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     77/100      4.74G     0.6874     0.6047      1.106         52        544: 100% 49/49 [00:26<00:00,  1.83it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.25it/s]\n",
            "                   all        219        535      0.519      0.454      0.444      0.338\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.487      0.927      0.818      0.662\n",
            "                banana        219         55      0.653      0.909      0.871      0.566\n",
            "                   bed        219          2      0.463      0.463      0.347      0.286\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.541      0.167      0.268       0.13\n",
            "                  fork        219         24      0.899      0.917      0.944      0.792\n",
            "                 knife        219        125      0.728       0.92      0.911       0.71\n",
            "                orange        219        141      0.531      0.826      0.682      0.521\n",
            "                pillow        219         97      0.655      0.724      0.655      0.452\n",
            "                 pilow        219          9          0          0      0.118     0.0809\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.821      0.955      0.953        0.8\n",
            "                  sofa        219          3          0          0     0.0906     0.0707\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     78/100      4.74G     0.6398     0.5818      1.082         59        544: 100% 49/49 [00:26<00:00,  1.85it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.49it/s]\n",
            "                   all        219        535      0.567      0.466      0.442      0.341\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41       0.66      0.902      0.868      0.677\n",
            "                banana        219         55        0.8      0.891      0.882      0.585\n",
            "                   bed        219          2      0.445      0.445      0.338       0.28\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.599      0.167      0.177      0.106\n",
            "                  fork        219         24      0.846      0.917      0.942      0.816\n",
            "                 knife        219        125      0.845      0.913       0.93      0.738\n",
            "                orange        219        141       0.55      0.809      0.699       0.53\n",
            "                pillow        219         97      0.737      0.665      0.657      0.439\n",
            "                 pilow        219          9          0          0     0.0736     0.0491\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.782      0.955      0.961      0.813\n",
            "                  sofa        219          3      0.235      0.333      0.107     0.0855\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     79/100      4.74G     0.6434     0.5676      1.081         95        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.82it/s]\n",
            "                   all        219        535      0.509      0.476      0.469      0.361\n",
            "                     -        219          7          0          0     0.0137     0.0041\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.392      0.902       0.78      0.623\n",
            "                banana        219         55      0.712      0.944      0.871      0.557\n",
            "                   bed        219          2      0.474        0.5      0.745      0.623\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.512      0.167      0.189      0.106\n",
            "                  fork        219         24      0.785      0.917      0.944      0.816\n",
            "                 knife        219        125      0.697       0.94      0.933      0.728\n",
            "                orange        219        141      0.519      0.816      0.665      0.499\n",
            "                pillow        219         97      0.671       0.66       0.62      0.405\n",
            "                 pilow        219          9          0          0      0.132     0.0871\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.687      0.955      0.962      0.827\n",
            "                  sofa        219          3      0.185      0.333      0.177      0.136\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     80/100      4.74G      0.667     0.5789       1.09        110        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.89it/s]\n",
            "                   all        219        535      0.545      0.457       0.45      0.337\n",
            "                     -        219          7          0          0    0.00735     0.0022\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41       0.54      0.854       0.79      0.625\n",
            "                banana        219         55      0.742      0.891      0.853      0.557\n",
            "                   bed        219          2      0.341        0.5      0.497      0.374\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.571      0.167      0.214      0.113\n",
            "                  fork        219         24      0.824      0.917       0.95      0.804\n",
            "                 knife        219        125      0.804      0.944      0.941      0.693\n",
            "                orange        219        141      0.613       0.73      0.673      0.506\n",
            "                pillow        219         97      0.753      0.567      0.623      0.416\n",
            "                 pilow        219          9          1          0     0.0745     0.0491\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.768      0.955      0.961      0.812\n",
            "                  sofa        219          3      0.219      0.333      0.159      0.102\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     81/100      4.74G     0.6447     0.5632      1.073         75        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.86it/s]\n",
            "                   all        219        535      0.482      0.463      0.458      0.337\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.454      0.829      0.783      0.582\n",
            "                banana        219         55      0.749      0.909      0.846      0.538\n",
            "                   bed        219          2      0.701        0.5      0.662      0.463\n",
            "                  bowl        219          1          0          0          0          0\n",
            "                carrot        219          6      0.583      0.167      0.202      0.111\n",
            "                  fork        219         24      0.836      0.917      0.945      0.778\n",
            "                 knife        219        125      0.757       0.96      0.948      0.721\n",
            "                orange        219        141      0.544      0.744      0.661      0.499\n",
            "                pillow        219         97      0.741      0.639      0.615      0.406\n",
            "                 pilow        219          9          1          0     0.0814     0.0538\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.723      0.955      0.961       0.78\n",
            "                  sofa        219          3      0.144      0.333      0.165      0.121\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     82/100      4.74G      0.646     0.5553       1.07         69        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.33it/s]\n",
            "                   all        219        535       0.72      0.398      0.472      0.363\n",
            "                     -        219          7          0          0     0.0102    0.00305\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.783       0.78      0.827      0.636\n",
            "                banana        219         55      0.843       0.78      0.851      0.567\n",
            "                   bed        219          2          1          0      0.745      0.675\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.888      0.167      0.194      0.111\n",
            "                  fork        219         24       0.91      0.917      0.941      0.764\n",
            "                 knife        219        125      0.897       0.88      0.911      0.726\n",
            "                orange        219        141      0.621      0.709        0.7       0.53\n",
            "                pillow        219         97      0.758      0.452      0.591      0.377\n",
            "                 pilow        219          9          1          0        0.2      0.135\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.913      0.955      0.962      0.803\n",
            "                  sofa        219          3      0.183      0.333      0.145      0.125\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     83/100      4.74G     0.6436      0.551       1.07         97        544: 100% 49/49 [00:27<00:00,  1.81it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.45it/s]\n",
            "                   all        219        535      0.487      0.488      0.486      0.372\n",
            "                     -        219          7          0          0     0.0076    0.00228\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.537      0.902      0.845      0.654\n",
            "                banana        219         55      0.622      0.891      0.848      0.572\n",
            "                   bed        219          2      0.685        0.5      0.745      0.674\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.534      0.167      0.183       0.11\n",
            "                  fork        219         24       0.73      0.958       0.96      0.755\n",
            "                 knife        219        125      0.744      0.952      0.944      0.747\n",
            "                orange        219        141      0.538      0.858      0.704      0.534\n",
            "                pillow        219         97      0.665      0.697      0.623      0.405\n",
            "                 pilow        219          9      0.251      0.111      0.317      0.206\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.877      0.955      0.964      0.813\n",
            "                  sofa        219          3      0.126      0.333      0.154      0.104\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     84/100      4.74G     0.6363     0.5586      1.081         68        544: 100% 49/49 [00:28<00:00,  1.71it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535      0.688      0.462      0.483       0.36\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.584      0.829      0.847      0.647\n",
            "                banana        219         55      0.756      0.847       0.84      0.559\n",
            "                   bed        219          2      0.771        0.5      0.745      0.535\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.737      0.167      0.188      0.113\n",
            "                  fork        219         24      0.765      0.917      0.919      0.731\n",
            "                 knife        219        125      0.864      0.944      0.949      0.774\n",
            "                orange        219        141      0.597      0.752      0.675      0.511\n",
            "                pillow        219         97      0.722      0.588      0.622      0.406\n",
            "                 pilow        219          9      0.268      0.111       0.31      0.203\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22          1      0.946      0.961       0.78\n",
            "                  sofa        219          3      0.262      0.333      0.191      0.146\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     85/100      4.74G     0.6417     0.5529      1.075         78        544: 100% 49/49 [00:27<00:00,  1.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.87it/s]\n",
            "                   all        219        535       0.66      0.429      0.464       0.34\n",
            "                     -        219          7          0          0     0.0258    0.00998\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.701      0.805       0.86      0.644\n",
            "                banana        219         55      0.866      0.764       0.87      0.587\n",
            "                   bed        219          2      0.479        0.5      0.414      0.217\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.187      0.109\n",
            "                  fork        219         24      0.823      0.917      0.923      0.734\n",
            "                 knife        219        125      0.936      0.932      0.956      0.764\n",
            "                orange        219        141      0.666      0.702        0.7      0.536\n",
            "                pillow        219         97      0.742      0.444       0.59      0.397\n",
            "                 pilow        219          9       0.46      0.111      0.211      0.146\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.953      0.926      0.956      0.766\n",
            "                  sofa        219          3      0.278      0.333      0.264      0.194\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     86/100      4.74G     0.6083     0.5299      1.065         54        544: 100% 49/49 [00:27<00:00,  1.77it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.75it/s]\n",
            "                   all        219        535      0.636      0.443       0.45      0.338\n",
            "                     -        219          7          0          0      0.017     0.0051\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.514      0.878      0.787      0.607\n",
            "                banana        219         55      0.793      0.835      0.857      0.547\n",
            "                   bed        219          2      0.481        0.5      0.414      0.235\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6          1          0      0.135     0.0713\n",
            "                  fork        219         24      0.834      0.917      0.914      0.768\n",
            "                 knife        219        125      0.928       0.93       0.94      0.757\n",
            "                orange        219        141      0.581      0.681      0.695      0.533\n",
            "                pillow        219         97      0.733      0.557      0.607      0.404\n",
            "                 pilow        219          9      0.447      0.111        0.2      0.138\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.945      0.909      0.982      0.842\n",
            "                  sofa        219          3      0.282      0.333      0.194      0.161\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     87/100      4.74G     0.6256     0.5348      1.069         80        544: 100% 49/49 [00:27<00:00,  1.80it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.20it/s]\n",
            "                   all        219        535       0.56      0.501      0.463      0.358\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.517      0.902      0.844      0.648\n",
            "                banana        219         55      0.761      0.909      0.875       0.56\n",
            "                   bed        219          2      0.316        0.5      0.332      0.227\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.503      0.167      0.195      0.117\n",
            "                  fork        219         24       0.85      0.917      0.933      0.848\n",
            "                 knife        219        125      0.822      0.952      0.939      0.767\n",
            "                orange        219        141      0.571      0.787      0.708      0.541\n",
            "                pillow        219         97      0.677       0.66      0.614      0.402\n",
            "                 pilow        219          9      0.186      0.111      0.216      0.146\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.954      0.949      0.972      0.854\n",
            "                  sofa        219          3       0.24      0.667      0.324      0.259\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     88/100      4.74G      0.606     0.5241      1.064         76        544: 100% 49/49 [00:28<00:00,  1.72it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.83it/s]\n",
            "                   all        219        535      0.714      0.459      0.463      0.357\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.702      0.854      0.874      0.664\n",
            "                banana        219         55      0.809      0.855      0.854      0.568\n",
            "                   bed        219          2      0.438      0.438      0.414      0.309\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.649      0.167        0.2      0.118\n",
            "                  fork        219         24      0.849      0.917      0.912      0.811\n",
            "                 knife        219        125      0.889      0.928      0.957      0.763\n",
            "                orange        219        141      0.607      0.759      0.682      0.525\n",
            "                pillow        219         97      0.738      0.577       0.63      0.423\n",
            "                 pilow        219          9      0.889      0.111       0.22      0.152\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.913      0.952      0.957      0.822\n",
            "                  sofa        219          3       0.23      0.333      0.251      0.194\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     89/100      4.74G     0.6023     0.5139      1.055         74        544: 100% 49/49 [00:28<00:00,  1.73it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.87it/s]\n",
            "                   all        219        535       0.76      0.432      0.461      0.352\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.886      0.829      0.901      0.682\n",
            "                banana        219         55      0.845      0.782      0.838      0.562\n",
            "                   bed        219          2      0.483        0.5      0.448      0.335\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.798      0.167      0.211      0.114\n",
            "                  fork        219         24      0.867      0.917      0.921      0.814\n",
            "                 knife        219        125       0.94      0.888      0.936      0.745\n",
            "                orange        219        141      0.607      0.709      0.687      0.524\n",
            "                pillow        219         97      0.758      0.452      0.632      0.425\n",
            "                 pilow        219          9          1          0      0.147     0.0989\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.922      0.909      0.956      0.811\n",
            "                  sofa        219          3        0.3      0.333      0.233      0.177\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     90/100      4.74G     0.6076     0.5055      1.058         88        544: 100% 49/49 [00:27<00:00,  1.75it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.86it/s]\n",
            "                   all        219        535      0.509      0.501      0.474      0.364\n",
            "                     -        219          7          1          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.643      0.878      0.868      0.677\n",
            "                banana        219         55       0.75      0.873      0.853      0.586\n",
            "                   bed        219          2      0.257        0.5      0.414      0.308\n",
            "                  bowl        219          1          0          0          0          0\n",
            "                carrot        219          6      0.526      0.167      0.211      0.111\n",
            "                  fork        219         24      0.716      0.945       0.94      0.836\n",
            "                 knife        219        125      0.832       0.96      0.954      0.747\n",
            "                orange        219        141      0.548      0.834      0.689      0.533\n",
            "                pillow        219         97      0.703      0.707      0.636       0.42\n",
            "                 pilow        219          9      0.409      0.111       0.24      0.164\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.888      0.955      0.959      0.824\n",
            "                  sofa        219          3      0.367      0.593      0.347      0.252\n",
            "Closing dataloader mosaic\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     91/100      4.74G     0.5228     0.4307       1.02         40        544: 100% 49/49 [00:15<00:00,  3.07it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.21it/s]\n",
            "                   all        219        535      0.403      0.508      0.471       0.36\n",
            "                     -        219          7          0          0    0.00857    0.00429\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.549      0.902      0.873      0.669\n",
            "                banana        219         55      0.726      0.868      0.822      0.561\n",
            "                   bed        219          2       0.34      0.519      0.497      0.411\n",
            "                  bowl        219          1          0          0          0          0\n",
            "                carrot        219          6       0.51      0.167      0.241      0.119\n",
            "                  fork        219         24      0.668      0.917       0.94      0.856\n",
            "                 knife        219        125      0.803      0.952      0.952      0.749\n",
            "                orange        219        141      0.527      0.844      0.688      0.521\n",
            "                pillow        219         97      0.664      0.722      0.618      0.415\n",
            "                 pilow        219          9      0.182      0.111      0.135     0.0926\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.819      0.955      0.961      0.805\n",
            "                  sofa        219          3      0.257      0.667      0.324      0.202\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     92/100      4.74G     0.5008     0.3902       1.01         40        544: 100% 49/49 [00:14<00:00,  3.33it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.85it/s]\n",
            "                   all        219        535      0.468      0.491      0.474      0.359\n",
            "                     -        219          7          0          0    0.00796    0.00477\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.409      0.927      0.871      0.673\n",
            "                banana        219         55      0.721      0.945      0.853        0.6\n",
            "                   bed        219          2      0.638        0.5       0.62      0.379\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6       0.52      0.167        0.3      0.144\n",
            "                  fork        219         24       0.66      0.917      0.948      0.837\n",
            "                 knife        219        125      0.802      0.941      0.938      0.743\n",
            "                orange        219        141      0.522       0.83        0.7      0.533\n",
            "                pillow        219         97      0.599       0.74      0.621      0.429\n",
            "                 pilow        219          9      0.114      0.111     0.0838     0.0579\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.838      0.955      0.955      0.816\n",
            "                  sofa        219          3      0.193      0.333      0.213      0.167\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     93/100      4.74G     0.5016     0.3923      1.009         33        544: 100% 49/49 [00:14<00:00,  3.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.82it/s]\n",
            "                   all        219        535      0.727      0.434      0.457      0.349\n",
            "                     -        219          7          1          0    0.00826    0.00496\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.756      0.829      0.859      0.669\n",
            "                banana        219         55      0.876      0.764      0.867       0.61\n",
            "                   bed        219          2          1          0       0.19      0.119\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.744      0.167        0.3      0.143\n",
            "                  fork        219         24      0.873      0.917      0.955      0.851\n",
            "                 knife        219        125      0.938      0.904      0.954      0.755\n",
            "                orange        219        141      0.652      0.756      0.715      0.546\n",
            "                pillow        219         97      0.724      0.567      0.638      0.436\n",
            "                 pilow        219          9          0          0     0.0818     0.0523\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.954      0.942      0.957      0.817\n",
            "                  sofa        219          3      0.388      0.667      0.328      0.234\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     94/100      4.74G       0.49     0.3702     0.9894         47        544: 100% 49/49 [00:14<00:00,  3.37it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:05<00:00,  1.39it/s]\n",
            "                   all        219        535      0.659      0.431       0.46      0.355\n",
            "                     -        219          7          0          0    0.00694    0.00417\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.742      0.805      0.863      0.648\n",
            "                banana        219         55       0.87      0.727      0.861      0.611\n",
            "                   bed        219          2          1          0      0.284       0.21\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.753      0.167      0.272      0.126\n",
            "                  fork        219         24      0.951      0.917      0.954      0.864\n",
            "                 knife        219        125      0.939      0.896      0.941      0.772\n",
            "                orange        219        141      0.617      0.787      0.704      0.537\n",
            "                pillow        219         97      0.768      0.547      0.628      0.438\n",
            "                 pilow        219          9          0          0     0.0743       0.05\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.884      0.955      0.969      0.832\n",
            "                  sofa        219          3      0.367      0.667      0.336      0.236\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     95/100      4.74G     0.4748     0.3629     0.9815         42        544: 100% 49/49 [00:14<00:00,  3.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.60it/s]\n",
            "                   all        219        535      0.662      0.438      0.474      0.366\n",
            "                     -        219          7          0          0     0.0152    0.00783\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.865      0.854      0.893      0.664\n",
            "                banana        219         55      0.863      0.799      0.853       0.59\n",
            "                   bed        219          2          1          0      0.332      0.265\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.763      0.167       0.27      0.134\n",
            "                  fork        219         24      0.874      0.917      0.955      0.857\n",
            "                 knife        219        125      0.903      0.912      0.941      0.771\n",
            "                orange        219        141      0.647       0.74      0.702      0.537\n",
            "                pillow        219         97       0.77      0.557      0.642      0.449\n",
            "                 pilow        219          9          0          0     0.0696     0.0476\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.888      0.955      0.956      0.825\n",
            "                  sofa        219          3      0.364      0.667      0.481      0.342\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     96/100      4.74G     0.4824     0.3678      0.992         35        544: 100% 49/49 [00:14<00:00,  3.34it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.82it/s]\n",
            "                   all        219        535      0.647      0.453      0.474      0.365\n",
            "                     -        219          7          0          0    0.00789    0.00394\n",
            "                 Onion        219          1          1          0          0          0\n",
            "                 apple        219         41      0.725      0.878      0.865      0.653\n",
            "                banana        219         55      0.831      0.807      0.851      0.569\n",
            "                   bed        219          2          1          0      0.497      0.398\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.706      0.167      0.256      0.146\n",
            "                  fork        219         24      0.758      0.917      0.973      0.878\n",
            "                 knife        219        125      0.869      0.928      0.965      0.776\n",
            "                orange        219        141      0.609      0.773       0.69      0.526\n",
            "                pillow        219         97      0.733      0.594       0.64      0.438\n",
            "                 pilow        219          9      0.199      0.111     0.0835     0.0576\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.916      0.955      0.962      0.824\n",
            "                  sofa        219          3      0.355      0.667       0.32      0.205\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     97/100      4.74G     0.4777     0.3622     0.9867         27        544: 100% 49/49 [00:14<00:00,  3.39it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.77it/s]\n",
            "                   all        219        535      0.546      0.499      0.493      0.379\n",
            "                     -        219          7          0          0    0.00712    0.00356\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.669      0.878      0.872       0.67\n",
            "                banana        219         55      0.788      0.873      0.843      0.588\n",
            "                   bed        219          2      0.721        0.5      0.745      0.548\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.599      0.167      0.242      0.108\n",
            "                  fork        219         24      0.798      0.988      0.979      0.883\n",
            "                 knife        219        125      0.847      0.928       0.95      0.783\n",
            "                orange        219        141      0.594       0.78      0.691       0.53\n",
            "                pillow        219         97       0.73       0.64      0.641       0.44\n",
            "                 pilow        219          9      0.208      0.111       0.12     0.0814\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.865      0.955      0.964      0.832\n",
            "                  sofa        219          3      0.367      0.667      0.338      0.211\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     98/100      4.74G     0.4743     0.3617     0.9924         29        544: 100% 49/49 [00:14<00:00,  3.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:04<00:00,  1.42it/s]\n",
            "                   all        219        535      0.571      0.447      0.487      0.372\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.799      0.829      0.871      0.653\n",
            "                banana        219         55      0.835      0.855      0.865      0.602\n",
            "                   bed        219          2      0.752        0.5      0.695      0.508\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.752      0.167      0.236      0.101\n",
            "                  fork        219         24      0.909      0.917      0.969      0.868\n",
            "                 knife        219        125      0.923      0.904      0.959      0.774\n",
            "                orange        219        141      0.665      0.716      0.701      0.535\n",
            "                pillow        219         97      0.744      0.536      0.633      0.427\n",
            "                 pilow        219          9          0          0     0.0945      0.064\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22       0.91      0.955      0.963      0.833\n",
            "                  sofa        219          3      0.282      0.333      0.321      0.219\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "     99/100      4.74G      0.461      0.347     0.9768         20        544: 100% 49/49 [00:14<00:00,  3.38it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:03<00:00,  1.84it/s]\n",
            "                   all        219        535      0.504      0.484      0.473      0.365\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.745      0.854      0.868      0.653\n",
            "                banana        219         55      0.771      0.917       0.87       0.61\n",
            "                   bed        219          2      0.303        0.5      0.448      0.334\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.574      0.167      0.241      0.119\n",
            "                  fork        219         24      0.819      0.917      0.974       0.89\n",
            "                 knife        219        125      0.854      0.939      0.946      0.775\n",
            "                orange        219        141      0.597      0.759      0.695      0.527\n",
            "                pillow        219         97      0.691       0.67      0.639      0.436\n",
            "                 pilow        219          9          0          0     0.0886     0.0581\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.851      0.955      0.963      0.835\n",
            "                  sofa        219          3       0.36      0.577      0.354      0.245\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n",
            "    100/100      4.74G     0.4502     0.3427     0.9821         49        544: 100% 49/49 [00:14<00:00,  3.35it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:08<00:00,  1.20s/it]\n",
            "                   all        219        535      0.525      0.489      0.477      0.369\n",
            "                     -        219          7          0          0          0          0\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.711      0.899      0.871      0.664\n",
            "                banana        219         55      0.778      0.891      0.858      0.598\n",
            "                   bed        219          2      0.465        0.5      0.497      0.374\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6      0.601      0.167      0.244      0.127\n",
            "                  fork        219         24      0.875      0.917      0.973      0.889\n",
            "                 knife        219        125      0.866      0.944      0.962      0.774\n",
            "                orange        219        141      0.595       0.76      0.699      0.527\n",
            "                pillow        219         97      0.755      0.637      0.654      0.445\n",
            "                 pilow        219          9          0          0     0.0852     0.0578\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.834      0.955      0.963      0.839\n",
            "                  sofa        219          3      0.397      0.667      0.354      0.245\n",
            "\n",
            "100 epochs completed in 0.874 hours.\n",
            "Optimizer stripped from runs/detect/train2/weights/last.pt, 22.5MB\n",
            "Optimizer stripped from runs/detect/train2/weights/best.pt, 22.5MB\n",
            "\n",
            "Validating runs/detect/train2/weights/best.pt...\n",
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 11139516 parameters, 0 gradients, 28.5 GFLOPs\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 7/7 [00:07<00:00,  1.09s/it]\n",
            "                   all        219        535      0.547      0.499      0.493      0.378\n",
            "                     -        219          7          0          0    0.00707    0.00353\n",
            "                 Onion        219          1          0          0          0          0\n",
            "                 apple        219         41      0.672      0.878      0.872       0.67\n",
            "                banana        219         55      0.789      0.873      0.844      0.588\n",
            "                   bed        219          2      0.727        0.5      0.745      0.548\n",
            "                  bowl        219          1          1          0          0          0\n",
            "                carrot        219          6        0.6      0.167      0.242      0.108\n",
            "                  fork        219         24      0.798      0.989      0.979      0.883\n",
            "                 knife        219        125      0.847      0.928       0.95      0.783\n",
            "                orange        219        141      0.594       0.78      0.692       0.53\n",
            "                pillow        219         97      0.729      0.639       0.64      0.439\n",
            "                 pilow        219          9      0.209      0.111      0.121     0.0819\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.866      0.955      0.964      0.831\n",
            "                  sofa        219          3      0.367      0.667      0.338      0.211\n",
            "Speed: 2.2ms pre-process, 3.9ms inference, 0.0ms loss, 3.4ms post-process per image\n",
            "Results saved to \u001b[1mruns/detect/train2\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "%cd {HOME}\n",
        "\n",
        "!yolo task=detect mode=train model=yolov8s.pt data={dataset.location}/data.yaml epochs=100 imgsz=540 plots=True"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1MScstfHhArr",
        "outputId": "4892296b-b673-45c4-9e72-d7e50fb7ec26"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ls: cannot access '{HOME}/runs/detect/train2/': No such file or directory\n"
          ]
        }
      ],
      "source": [
        "!ls {HOME}/runs/detect/train2/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YpyuwrNlXc1P",
        "outputId": "09a5d1c7-8b89-440c-b56b-f923905cc50f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/datasets\n",
            "2023-05-19 23:38:48.873979: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-05-19 23:38:49.882944: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 11139516 parameters, 0 gradients, 28.5 GFLOPs\n",
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/datasets/datasets/Team-SLA-3/valid/labels.cache... 219 images, 0 backgrounds, 0 corrupt: 100% 219/219 [00:00<?, ?it/s]\n",
            "WARNING ⚠️ Box and segment counts should be equal, but got len(segments) = 4, len(boxes) = 535. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 14/14 [00:05<00:00,  2.51it/s]\n",
            "                   all        219        535      0.348       0.51       0.49      0.384\n",
            "                     -        219          7          0          0     0.0596      0.021\n",
            "                 Onion        219          1          0          0     0.0302     0.0211\n",
            "                 apple        219         41      0.796       0.78      0.804      0.628\n",
            "                banana        219         55      0.485      0.945      0.767      0.454\n",
            "                   bed        219          2          0          0       0.13      0.113\n",
            "                  bowl        219          1      0.497          1      0.995      0.895\n",
            "                carrot        219          6          0          0    0.00824    0.00339\n",
            "                  fork        219         24      0.743          1      0.974       0.84\n",
            "                 knife        219        125      0.577      0.856      0.837      0.648\n",
            "                orange        219        141      0.517       0.78      0.688      0.508\n",
            "                pillow        219         97      0.602       0.67      0.705      0.484\n",
            "                 pilow        219          9          0          0     0.0615     0.0387\n",
            "                 pizza        219          1          0          0          0          0\n",
            "              scissors        219         22      0.809      0.955       0.95      0.849\n",
            "                  sofa        219          3      0.201      0.667      0.336      0.258\n",
            "Speed: 0.2ms pre-process, 3.7ms inference, 0.0ms loss, 3.3ms post-process per image\n"
          ]
        }
      ],
      "source": [
        "%cd {HOME}\n",
        "\n",
        "!yolo task=detect mode=val model={HOME}/runs/detect/train/weights/best.pt data={dataset.location}/data.yaml"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i4eASbcWkQBq"
      },
      "source": [
        "## Inference with Custom Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wjc1ctZykYuf",
        "outputId": "585429f2-0f1d-43c6-caa4-3e45379662d1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/datasets\n",
            "2023-05-19 23:39:41.156229: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-05-19 23:39:42.412323: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 11139516 parameters, 0 gradients, 28.5 GFLOPs\n",
            "image 1/120 /content/datasets/datasets/Team-SLA-3/test/images/00-Signature_png.rf.5664194af9d06d200c70ef141457c573.jpg: 224x224 1 fork, 1 knife, 7.0ms\n",
            "image 2/120 /content/datasets/datasets/Team-SLA-3/test/images/000325189-1_jpg.rf.e248b7a1f655597b7dced68876bbfe39.jpg: 224x224 3 apples, 7.5ms\n",
            "image 3/120 /content/datasets/datasets/Team-SLA-3/test/images/02453185_png.rf.a41dffa57ccc2e0cc1ac354ebda96f2f.jpg: 224x224 2 forks, 1 knife, 2 scissorss, 7.0ms\n",
            "image 4/120 /content/datasets/datasets/Team-SLA-3/test/images/028548_jpg.rf.124a66b936cfe35d5a57d977a1d2bec9.jpg: 224x224 4 apples, 8.6ms\n",
            "image 5/120 /content/datasets/datasets/Team-SLA-3/test/images/06_04c-001-1_jpg.rf.ef153e542f48482162e3ec0949216579.jpg: 224x224 1 knife, 7.0ms\n",
            "image 6/120 /content/datasets/datasets/Team-SLA-3/test/images/0f9654e95a49552e8e0cd4752d8fe2a4_jpg.rf.8f5368f982800a85977998906b41ef21.jpg: 224x224 1 pillow, 2 pilows, 6.9ms\n",
            "image 7/120 /content/datasets/datasets/Team-SLA-3/test/images/1-Go-Bright-and-Bold-With-Yellow-Accent-Pillows-on-a-Grey-Couch-1400x1400_jpg.rf.e3fea2c9bba7eab5ccf5afb65306a925.jpg: 224x224 7 pillows, 6.9ms\n",
            "image 8/120 /content/datasets/datasets/Team-SLA-3/test/images/10_jpg.rf.cb3c4c174e27845f4105f9f9135a082a.jpg: 224x224 3 pillows, 6.8ms\n",
            "image 9/120 /content/datasets/datasets/Team-SLA-3/test/images/113245_large_jpg.rf.87a461b79ff5a8d531274b9a756417fc.jpg: 224x224 1 fork, 7.7ms\n",
            "image 10/120 /content/datasets/datasets/Team-SLA-3/test/images/13281089_01_hunting_knives_640_jpg.rf.638eb1305dbfd92368786f1bc55df040.jpg: 224x224 2 knifes, 6.9ms\n",
            "image 11/120 /content/datasets/datasets/Team-SLA-3/test/images/2018-5Cr15MoV-Stainless-Steel-Kitcchen-Chef-Knife-Sharp-Japanese-Kitchen-Knives-Meat-Fruit-Vegetable_jpg.rf.bced43c4bacd13aba2e29c7eca0ee440.jpg: 224x224 1 knife, 6.9ms\n",
            "image 12/120 /content/datasets/datasets/Team-SLA-3/test/images/230605_jpg.rf.7b2cc14a4be80f55e9fa8cb489fbafe9.jpg: 224x224 8 apples, 6.9ms\n",
            "image 13/120 /content/datasets/datasets/Team-SLA-3/test/images/2d-scaled_jpg.rf.d9a99d9bd2754a70a19c4cbdca188e80.jpg: 224x224 1 knife, 6.9ms\n",
            "image 14/120 /content/datasets/datasets/Team-SLA-3/test/images/36958-1-_jpg.rf.c2a6ac74d33c602095f64f6acd662edf.jpg: 224x224 1 knife, 7.0ms\n",
            "image 15/120 /content/datasets/datasets/Team-SLA-3/test/images/3_tips_for_mixing_throw_pillows_jpg.rf.9225ab4a9c2a8c015a01f272f077f128.jpg: 224x224 6 pillows, 2 sofas, 6.9ms\n",
            "image 16/120 /content/datasets/datasets/Team-SLA-3/test/images/4040606_16x16-1024x987_jpg.rf.c9a05e8a7b8d38ac6d8a0510f2157343.jpg: 224x224 1 pillow, 6.9ms\n",
            "image 17/120 /content/datasets/datasets/Team-SLA-3/test/images/4040607_16x16-1024x988_jpg.rf.e0c14b508f44705e031d0a6b48169145.jpg: 224x224 2 bananas, 1 pillow, 6.9ms\n",
            "image 18/120 /content/datasets/datasets/Team-SLA-3/test/images/4040609_16x16-1024x952_jpg.rf.8368a7adbce9488a48853b0f49ef9545.jpg: 224x224 1 pillow, 6.8ms\n",
            "image 19/120 /content/datasets/datasets/Team-SLA-3/test/images/42e9as7nataai4a6jcufwg_jpeg.rf.2d3f080d3d1db15a4ff4e1485d98f57d.jpg: 224x224 4 bananas, 6.8ms\n",
            "image 20/120 /content/datasets/datasets/Team-SLA-3/test/images/48804bbdfbf78034d9afd0d10c92abb6_large-1-_jpg.rf.a3934ef251ca4ae60b3eb222bb9e1eff.jpg: 224x224 2 knifes, 6.8ms\n",
            "image 21/120 /content/datasets/datasets/Team-SLA-3/test/images/4be5f7e5a80be6fda87bf4410ab9c1f5_jpg.rf.576a8c5856506aad75606b4c9e4a045e.jpg: 224x224 3 apples, 1 pilow, 6.8ms\n",
            "image 22/120 /content/datasets/datasets/Team-SLA-3/test/images/550685-fruit-apples_jpg.rf.2b5ac23dd406a911b7ed1a726d51c9c2.jpg: 224x224 2 apples, 2 oranges, 6.9ms\n",
            "image 23/120 /content/datasets/datasets/Team-SLA-3/test/images/5f4266ef54719d0881bd27a0d9be6173_jpg.rf.0d1cb0759fe0a58bc36d1f63979a9c06.jpg: 224x224 1 pillow, 2 pilows, 6.8ms\n",
            "image 24/120 /content/datasets/datasets/Team-SLA-3/test/images/6-inch-440C-Professional-hairdressing-scissors-hair-thinning-scissors-barber_jpg.rf.a76988879dac4258eb035717497cdb51.jpg: 224x224 1 fork, 1 scissors, 6.9ms\n",
            "image 25/120 /content/datasets/datasets/Team-SLA-3/test/images/622230-1-_jpg.rf.5f44c02012738d4b074dac61680f5ac1.jpg: 224x224 1 scissors, 8.3ms\n",
            "image 26/120 /content/datasets/datasets/Team-SLA-3/test/images/661302_jpg.rf.d3ab30bc2c266acf1e31f6f49cfa9b85.jpg: 224x224 7 apples, 6.9ms\n",
            "image 27/120 /content/datasets/datasets/Team-SLA-3/test/images/711UQcfhLlL_jpg.rf.588c1b62e908fac855f802aea1865e0e.jpg: 224x224 1 pillow, 6.9ms\n",
            "image 28/120 /content/datasets/datasets/Team-SLA-3/test/images/7_18__98078-1555003271-1280-1280-1-_jpg.rf.864e1d573afb949014ed5740d0b93529.jpg: 224x224 1 knife, 6.9ms\n",
            "image 29/120 /content/datasets/datasets/Team-SLA-3/test/images/81W0U7tqDdL_jpg.rf.c76350d33e24f56a64ab0141c2d8a4af.jpg: 224x224 1 pillow, 6.9ms\n",
            "image 30/120 /content/datasets/datasets/Team-SLA-3/test/images/8cdf0ae9_jpg.rf.5fd511a32640720856a75b9977b9df54.jpg: 224x224 7 oranges, 6.8ms\n",
            "image 31/120 /content/datasets/datasets/Team-SLA-3/test/images/A-Yellow-Fruit-called-Banana-colors-34512727-602-465_jpg.rf.63d9154ea4f08062be4a5aa73541b310.jpg: 224x224 3 bananas, 6.9ms\n",
            "image 32/120 /content/datasets/datasets/Team-SLA-3/test/images/Apple-Fruit-PNG-Transparent-Image_png.rf.189e7146413708c945e7bf567958e4bd.jpg: 224x224 1 apple, 6.9ms\n",
            "image 33/120 /content/datasets/datasets/Team-SLA-3/test/images/Apple-apple_jpg.rf.9ac02d3a33aadfcc2daddf5641d63f70.jpg: 224x224 1 pillow, 6.9ms\n",
            "image 34/120 /content/datasets/datasets/Team-SLA-3/test/images/Apples-3-_jpg.rf.415e203d166b55f9ad7334ca6baf5653.jpg: 224x224 13 apples, 7.4ms\n",
            "image 35/120 /content/datasets/datasets/Team-SLA-3/test/images/B9327244777Z-1_20170426084937_000_GI3I4LULC-1-0-1536x806_jpg.rf.ecb8c643db2e9abb64ef3896c6de73a3.jpg: 224x224 3 bananas, 7.0ms\n",
            "image 36/120 /content/datasets/datasets/Team-SLA-3/test/images/Best-Combat-Knives_jpg.rf.ae2b0846c807b2de656ee62b4e33c745.jpg: 224x224 1 knife, 1 scissors, 6.9ms\n",
            "image 37/120 /content/datasets/datasets/Team-SLA-3/test/images/Colorful-throw-pillows-in-various-sizes-and-red-sofa_jpg.rf.97b195245d8978749de3da4699f6ad3a.jpg: 224x224 6 pillows, 1 sofa, 9.0ms\n",
            "image 38/120 /content/datasets/datasets/Team-SLA-3/test/images/Custom-Handmade-Damascus-Professional-kitchen-Chef-knives-set-5-Piece_1_jpg.rf.4dd5f4fe498f2413e026a5893a5a5d17.jpg: 224x224 8 knifes, 6.9ms\n",
            "image 39/120 /content/datasets/datasets/Team-SLA-3/test/images/Free-Shipping-VISON-Stainless-Steel-Kitchen-Peeling-Knife-Cutting-Fruit-Vegetable-Household-Utility-_jpg.rf.7831b487f31038681c045900121979bf.jpg: 224x224 2 knifes, 6.9ms\n",
            "image 40/120 /content/datasets/datasets/Team-SLA-3/test/images/Free-Shipping-ZSZ-Kitchen-Multifunctional-Fruit-Knife-Household-Meat-Vegetable-Fruit-Slicing-Knives-_jpg.rf.3c5ee711dea7c46a200296bf5cb8f838.jpg: 224x224 1 knife, 2 oranges, 6.8ms\n",
            "image 41/120 /content/datasets/datasets/Team-SLA-3/test/images/G307250_jpg.rf.785a02294ff2b2b49974e2fa784ea0aa.jpg: 224x224 1 fork, 5 knifes, 6.8ms\n",
            "image 42/120 /content/datasets/datasets/Team-SLA-3/test/images/How-to-Cut-Fruit-Veg-Feature-Photo-1024x576_jpg.rf.5d195e55ec89450c096f4b5f39a5f74b.jpg: 224x224 1 knife, 6.8ms\n",
            "image 43/120 /content/datasets/datasets/Team-SLA-3/test/images/IMG_1478-1-_png.rf.c6fa15cbab6ba9e66df9dc39581c7366.jpg: 224x224 1 knife, 6.8ms\n",
            "image 44/120 /content/datasets/datasets/Team-SLA-3/test/images/IMG_1585-1-_jpeg.rf.cc63d218935d356d1e1e5583f2aa6f4b.jpg: 224x224 1 knife, 6.8ms\n",
            "image 45/120 /content/datasets/datasets/Team-SLA-3/test/images/IMG_1989-1-_jpeg.rf.14b4d162a6be0f898efc73940642a43e.jpg: 224x224 1 knife, 6.8ms\n",
            "image 46/120 /content/datasets/datasets/Team-SLA-3/test/images/Kitchen-Knives-Cooking-Tools-Multi-purpose-household-cutting-tool-cut-fruits-vegetables-steak-fruits_jpg.rf.d110159a2f909561e94bb1a59399cbd0.jpg: 224x224 1 fork, 1 knife, 7.2ms\n",
            "image 47/120 /content/datasets/datasets/Team-SLA-3/test/images/Mitchell_jpg.rf.cedc590bc99df31bb5fdcc32bec7eb6e.jpg: 224x224 1 knife, 6.9ms\n",
            "image 48/120 /content/datasets/datasets/Team-SLA-3/test/images/Pair_of_scissors_with_black_handle__2015-06-07-1-_jpg.rf.6d5c6ded27094f8ab833b69a9aa02c13.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 49/120 /content/datasets/datasets/Team-SLA-3/test/images/SY105_cutlery-harley-ss-dessert-fork-per-doz-_P1-1-_jpg.rf.e0dce6a6b5557a2786ff6fca84181c6d.jpg: 224x224 1 fork, 6.9ms\n",
            "image 50/120 /content/datasets/datasets/Team-SLA-3/test/images/Scissors-2-_jpg.rf.ae9eb720bc528d75d6adf1527d23e0a7.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 51/120 /content/datasets/datasets/Team-SLA-3/test/images/Scissors-clipart-black-and-white-free-clipart-images_png.rf.6d4cf103916c50240ddda1d635aa21aa.jpg: 224x224 6.8ms\n",
            "image 52/120 /content/datasets/datasets/Team-SLA-3/test/images/Stainless-Steel-Fruits-Knife-With-Anti-slip-Plastic-Handle-Melon-Knife-Peeler-Cutting-Paring-Knife-M_jpg.rf.b66e40ff19d5bea5083aa6c0c48d4bef.jpg: 224x224 3 knifes, 1 orange, 6.9ms\n",
            "image 53/120 /content/datasets/datasets/Team-SLA-3/test/images/TN100-4_jpeg.rf.b46b4380c1b06086787467fc923286e7.jpg: 224x224 1 knife, 6.8ms\n",
            "image 54/120 /content/datasets/datasets/Team-SLA-3/test/images/TravisLukesSelection-2_jpg.rf.7dc31f60d8b572e51c358c6a1e55d7f2.jpg: 224x224 1 banana, 3 knifes, 1 pillow, 6.9ms\n",
            "image 55/120 /content/datasets/datasets/Team-SLA-3/test/images/a-lot-of-orange-fruit_jpg.rf.c827e49655ebad4d150a366fa1ed037d.jpg: 224x224 27 oranges, 6.9ms\n",
            "image 56/120 /content/datasets/datasets/Team-SLA-3/test/images/apple-plant-fruit-food-produce-organic-flowering-plant-rose-family-land-plant-599015_jpg.rf.055bfb9c7511d9c8842ee6bf07e0c350.jpg: 224x224 1 apple, 6.8ms\n",
            "image 57/120 /content/datasets/datasets/Team-SLA-3/test/images/apple-plant-white-fruit-sweet-flower-isolated-ripe-food-red-produce-fresh-object-juicy-healthy-close_jpg.rf.cabb1b37c3e0c08338843c8e7005d11b.jpg: 224x224 1 orange, 8.8ms\n",
            "image 58/120 /content/datasets/datasets/Team-SLA-3/test/images/apple_tree_growing_ripe_agriculture_red_fruit_branch-903757_jpeg.rf.fee97327d49cb513c779a19c7704e9ef.jpg: 224x224 1 apple, 6.9ms\n",
            "image 59/120 /content/datasets/datasets/Team-SLA-3/test/images/banana-4-_jpg.rf.296ce16f960582182792b30749ae3ed4.jpg: 224x224 2 bananas, 6.9ms\n",
            "image 60/120 /content/datasets/datasets/Team-SLA-3/test/images/banana-trees-289022372_jpg.rf.eb0fd0ccd405944c19ba4f8bc0a64b3e.jpg: 224x224 6 bananas, 6.9ms\n",
            "image 61/120 /content/datasets/datasets/Team-SLA-3/test/images/banana_fruit_greengrocers_bananas_yellow_blue_hooks-604337_jpeg.rf.0711268053ea771fb0bb19fc16c99208.jpg: 224x224 13 bananas, 6.8ms\n",
            "image 62/120 /content/datasets/datasets/Team-SLA-3/test/images/beautiful-damascus-kitchen-knives-1-_jpg.rf.4e21c7966772b294f37c3e35e6fa5572.jpg: 224x224 8 knifes, 6.8ms\n",
            "image 63/120 /content/datasets/datasets/Team-SLA-3/test/images/brisbanefruit_jpg.rf.ecc2e5bc53f09d9287e80622c7fe58ee.jpg: 224x224 1 apple, 6.8ms\n",
            "image 64/120 /content/datasets/datasets/Team-SLA-3/test/images/claw-hold1_orig_jpg.rf.4c3d24189a33de438becf15bfd4fedb7.jpg: 224x224 6.9ms\n",
            "image 65/120 /content/datasets/datasets/Team-SLA-3/test/images/contemporary-decorative-pillows_jpg.rf.60aeb2c9c0b04a76d5ad0da17319d5ea.jpg: 224x224 1 pillow, 6.9ms\n",
            "image 66/120 /content/datasets/datasets/Team-SLA-3/test/images/custom-handmade-damascus-hunting-knife-2-85-p_jpg.rf.f18ca3e77ec0c48157a2f2859ec8b30e.jpg: 224x224 1 knife, 6.8ms\n",
            "image 67/120 /content/datasets/datasets/Team-SLA-3/test/images/cutting-fruit-knife-chopping-board-hand-woman-cooking-large-pear-cut-slices-wooden-64930420_jpg.rf.d4d92997abf6c2212d9561991610e17d.jpg: 224x224 1 knife, 6.8ms\n",
            "image 68/120 /content/datasets/datasets/Team-SLA-3/test/images/cutting-fruit_jpg.rf.713dd1a43c1a4dab7a7a7c3b66345dfc.jpg: 224x224 1 knife, 7.0ms\n",
            "image 69/120 /content/datasets/datasets/Team-SLA-3/test/images/d4b8139a1419f06b699c94e34fa4f8a9_png.rf.d61271d082f3933e18673652310c85ee.jpg: 224x224 2 oranges, 6.9ms\n",
            "image 70/120 /content/datasets/datasets/Team-SLA-3/test/images/d9c11e4d4306cf35ee42c3eb351c5c02-diy-pillows-pillow-ideas_jpg.rf.c201d24bd6b1ef2d6ad8bcda551fa7f1.jpg: 224x224 1 pillow, 6.8ms\n",
            "image 71/120 /content/datasets/datasets/Team-SLA-3/test/images/dIXu2ZHTv5dxytURSt8IEiHIllKVg3Nbe1U1ofpfPB0_jpg.rf.6378e279426d6dd51104ff5732eb194f.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 72/120 /content/datasets/datasets/Team-SLA-3/test/images/depositphotos_8840885-stock-photo-orange-fruits-on-a-white_jpg.rf.86e4f4f3f54a227f7af6d432eaeb16f1.jpg: 224x224 4 oranges, 6.8ms\n",
            "image 73/120 /content/datasets/datasets/Team-SLA-3/test/images/depositphotos_90931968-stock-photo-cutting-the-fruit-knife-on_jpg.rf.038693fdf7956b56df69edf2714bbf18.jpg: 224x224 2 knifes, 6.8ms\n",
            "image 74/120 /content/datasets/datasets/Team-SLA-3/test/images/dinner-forkg-1-_png.rf.fb6b755d5e965fa9dfd38595c6c410e9.jpg: 224x224 1 fork, 6.9ms\n",
            "image 75/120 /content/datasets/datasets/Team-SLA-3/test/images/eph-pillows_jpg.rf.fcb2da0012ff636012731cad81ab4ffd.jpg: 224x224 1 knife, 1 pillow, 7.4ms\n",
            "image 76/120 /content/datasets/datasets/Team-SLA-3/test/images/f60e2d0593681a69e9d526b5a9971109-blue-throw-pillows-velvet-pillows_jpg.rf.4cd5eb19d419f0c708fe3f162076b8c2.jpg: 224x224 1 pillow, 6.8ms\n",
            "image 77/120 /content/datasets/datasets/Team-SLA-3/test/images/food-family-cooking-people-concept-man-chopping-paprika-cutting-board-knife-kitchen-63048360_jpg.rf.da5df617a204f4a17ba71d814fd073b6.jpg: 224x224 6.9ms\n",
            "image 78/120 /content/datasets/datasets/Team-SLA-3/test/images/fork-2-_jpg.rf.3d37c6859bb55cfcad8680b76232d0dd.jpg: 224x224 1 fork, 6.8ms\n",
            "image 79/120 /content/datasets/datasets/Team-SLA-3/test/images/fork-clipart-black-and-white-8_png.rf.5e353015e58bc06788f0ff9b21251a47.jpg: 224x224 1 fork, 6.8ms\n",
            "image 80/120 /content/datasets/datasets/Team-SLA-3/test/images/fork-knife-and-spoon-2-2-1418212_jpg.rf.526dff2b6ff0eeb4f4ad488e3e40f7e6.jpg: 224x224 1 fork, 6.9ms\n",
            "image 81/120 /content/datasets/datasets/Team-SLA-3/test/images/forks_jpg.rf.9383e56dc38b928cc5a102b7f67b2346.jpg: 224x224 6.8ms\n",
            "image 82/120 /content/datasets/datasets/Team-SLA-3/test/images/fresh-banana-fruits-isolated-12869744_jpg.rf.81afbbab8a47b8657ca6d56f44892acd.jpg: 224x224 6 bananas, 6.9ms\n",
            "image 83/120 /content/datasets/datasets/Team-SLA-3/test/images/fruit-knife-19273644_jpg.rf.b0bd4675f37e8416e7d801ad6757174f.jpg: 224x224 1 knife, 6.9ms\n",
            "image 84/120 /content/datasets/datasets/Team-SLA-3/test/images/gettyimages-87327545_jpg.rf.d75c409c7e4be77fd46b6ef5d6929713.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 85/120 /content/datasets/datasets/Team-SLA-3/test/images/green-fruits-vegetables-cutting-board-knife-rustic-wooden-background-top-view-71568510_jpg.rf.0f660ed70459290c782aab7f27e7cdd0.jpg: 224x224 1 knife, 6.8ms\n",
            "image 86/120 /content/datasets/datasets/Team-SLA-3/test/images/hair-thinning-scissors-reviews-1_jpg.rf.703309311e9c1ab30c4eec9f3bc50864.jpg: 224x224 2 scissorss, 6.9ms\n",
            "image 87/120 /content/datasets/datasets/Team-SLA-3/test/images/handmade-hunting-knife-beautiful-camping-knife-440c-steel-blade-buffalo-horn-handle-3-618-p_jpg.rf.0def7353a85857de770adae92b2b3897.jpg: 224x224 1 knife, 6.9ms\n",
            "image 88/120 /content/datasets/datasets/Team-SLA-3/test/images/il_fullxfull-394966203_g796_jpg.rf.8aa994cc6027f1c546afd2515940af59.jpg: 224x224 1 pillow, 6.9ms\n",
            "image 89/120 /content/datasets/datasets/Team-SLA-3/test/images/kayi-a-250-tailor-scissors-1000x1000-1-_jpeg.rf.964560bef3109bd866e5e65cc5a0b4dc.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 90/120 /content/datasets/datasets/Team-SLA-3/test/images/kayi-a-250-tailor-scissors-1000x1000_jpeg.rf.a6fcb1ed1d722a00ac59415f477cd1c3.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 91/120 /content/datasets/datasets/Team-SLA-3/test/images/knife_skills_07-1-713x475_jpg.rf.60ef0b5f413d46248dc281c334f3c6ec.jpg: 224x224 3 knifes, 7.1ms\n",
            "image 92/120 /content/datasets/datasets/Team-SLA-3/test/images/l7t2nmz5wd211_png.rf.186d3ec97491a4d81ea9c602fec0ae6a.jpg: 224x224 2 forks, 6.8ms\n",
            "image 93/120 /content/datasets/datasets/Team-SLA-3/test/images/middleton-knives_jpg.rf.645efe1d5e6609603b9d11fd7918c84d.jpg: 224x224 3 knifes, 6.9ms\n",
            "image 94/120 /content/datasets/datasets/Team-SLA-3/test/images/mini_artificial_apples_2_jpg.rf.e9615067df8faa0d8c8cc3fdd86e667a.jpg: 224x224 15 apples, 6.9ms\n",
            "image 95/120 /content/datasets/datasets/Team-SLA-3/test/images/my-current-knives_jpg.rf.04f78e4461d24e51dd141dc79244a778.jpg: 224x224 6 knifes, 6.9ms\n",
            "image 96/120 /content/datasets/datasets/Team-SLA-3/test/images/nature-plant-fruit-ripe-food-produce-vegetable-yellow-banana-healthy-close-bananas-fruits-frisch-ban_jpg.rf.9d6708c22f0aa0f4e5be2b76f5df8349.jpg: 224x224 6 bananas, 6.9ms\n",
            "image 97/120 /content/datasets/datasets/Team-SLA-3/test/images/orange-fruit-close-up-photo-juicy-wet-48043194_jpg.rf.d39d1245e05f5d9f5dc798f5a5abfd45.jpg: 224x224 1 orange, 7.0ms\n",
            "image 98/120 /content/datasets/datasets/Team-SLA-3/test/images/orange-fruit-cut-isolated-on-260nw-2201763849_jpg.rf.e6f842d05ec10a3823dc7b9382e34d86.jpg: 224x224 4 oranges, 7.8ms\n",
            "image 99/120 /content/datasets/datasets/Team-SLA-3/test/images/orange-fruit-softly-colored-centrally-composed-image_692702-20557_jpg.rf.06f3529020a69655944d402b40cbbec3.jpg: 224x224 1 orange, 7.0ms\n",
            "image 100/120 /content/datasets/datasets/Team-SLA-3/test/images/orange-tree-1024-768-7892_jpg.rf.b37b03ec87f8afabce8dea641758ab79.jpg: 224x224 4 oranges, 7.0ms\n",
            "image 101/120 /content/datasets/datasets/Team-SLA-3/test/images/orange_fruit_orange-88766_png.rf.06f9e6dc2ec6823517479052f8e9c25c.jpg: 224x224 24 oranges, 6.9ms\n",
            "image 102/120 /content/datasets/datasets/Team-SLA-3/test/images/oranges-fruit-citrus_jpg.rf.b9f4320f582cb8cc14a048ae0090c572.jpg: 224x224 3 oranges, 6.9ms\n",
            "image 103/120 /content/datasets/datasets/Team-SLA-3/test/images/oranges-fruit-food-citrus-fresh-juicy-organic-healthy-diet-vitamin-sweet-ripe-tropical-dessert-natur_jpg.rf.b40d3c0526288bdee88b138ea3242d1b.jpg: 224x224 15 oranges, 6.9ms\n",
            "image 104/120 /content/datasets/datasets/Team-SLA-3/test/images/perkins-handmade-bowie-knife-nba-1224-p_jpg.rf.e87146d13bdb22269b0bb75a344e1995.jpg: 224x224 1 knife, 6.9ms\n",
            "image 105/120 /content/datasets/datasets/Team-SLA-3/test/images/plant-fruit-food-produce-yellow-banana-mature-flowering-plant-banana-da-terra-land-plant-banana-fami_jpg.rf.39144d2851e91caa53cf29b1f27af020.jpg: 224x224 5 bananas, 6.9ms\n",
            "image 106/120 /content/datasets/datasets/Team-SLA-3/test/images/scissors-7946047_jpg.rf.ceeaa750fd22e429d1e8e590f99c17d2.jpg: 224x224 1 scissors, 6.9ms\n",
            "image 107/120 /content/datasets/datasets/Team-SLA-3/test/images/scissors-cutting-paper-clipart-35-1-_png.rf.8c209b027ea1dee3b3ca1f90801b6e89.jpg: 224x224 1 scissors, 6.8ms\n",
            "image 108/120 /content/datasets/datasets/Team-SLA-3/test/images/scissors_PNG2_png.rf.5c2725edad3d6a9b1e68b3966d92a5d4.jpg: 224x224 1 scissors, 6.8ms\n",
            "image 109/120 /content/datasets/datasets/Team-SLA-3/test/images/scissors_PNG30-1-_png.rf.ba509eac93681fc50819646d8f41c7d8.jpg: 224x224 2 scissorss, 6.8ms\n",
            "image 110/120 /content/datasets/datasets/Team-SLA-3/test/images/scissors_c92d53b6-48a1-4af6-937a-d3490ea74a15_1200x1200_jpg.rf.123c097184df59cf76aff993c23b77ab.jpg: 224x224 1 knife, 2 scissorss, 6.9ms\n",
            "image 111/120 /content/datasets/datasets/Team-SLA-3/test/images/sealy-bed-pillows-65712atc-64_1000_jpg.rf.1656877c10d056660bf832750f54a70f.jpg: 224x224 1 pillow, 7.8ms\n",
            "image 112/120 /content/datasets/datasets/Team-SLA-3/test/images/spin_prod_1003077612__jpg.rf.98235e80c9c6b080e7c5f05152a6c5fe.jpg: 224x224 1 pillow, 6.8ms\n",
            "image 113/120 /content/datasets/datasets/Team-SLA-3/test/images/throw-pillows-for-bed-decorating_jpg.rf.2ba2a30c692a8b8d6d82d90fd0a1ad22.jpg: 224x224 7 pillows, 3 sofas, 6.8ms\n",
            "image 114/120 /content/datasets/datasets/Team-SLA-3/test/images/throw-pillows_jpg.rf.7b2e6ec6a0faf41dd132701b79afb49b.jpg: 224x224 8 pillows, 6.9ms\n",
            "image 115/120 /content/datasets/datasets/Team-SLA-3/test/images/vintage-scissors-by-singer-BHHG6M_jpg.rf.0e4e44581ebbc5b9455513b0bb57909b.jpg: 224x224 1 apple, 1 knife, 1 scissors, 6.8ms\n",
            "image 116/120 /content/datasets/datasets/Team-SLA-3/test/images/w460_jpg.rf.78559f3044f8fece518998086c6377dd.jpg: 224x224 6.9ms\n",
            "image 117/120 /content/datasets/datasets/Team-SLA-3/test/images/westin-hotel-feather-down-pillow-HB-108_xlrg_jpg.rf.f43870cb6e3cf0d42eb4493167105e5d.jpg: 224x224 2 pillows, 6.9ms\n",
            "image 118/120 /content/datasets/datasets/Team-SLA-3/test/images/wp2293471_jpg.rf.8a53e58bd491b6bfbde8fac6322fdd83.jpg: 224x224 27 oranges, 6.8ms\n",
            "image 119/120 /content/datasets/datasets/Team-SLA-3/test/images/wusthof-classic-nakiri-1-_jpg.rf.26bc38d2c46fbddd03b2d148a8911201.jpg: 224x224 1 knife, 6.9ms\n",
            "image 120/120 /content/datasets/datasets/Team-SLA-3/test/images/yellow-bananas-fruit-group-wooden-background-59004483_jpg.rf.479173516a845a9a9ff05570122dabf0.jpg: 224x224 1 banana, 6.8ms\n",
            "Speed: 0.2ms pre-process, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 224, 224)\n",
            "Results saved to \u001b[1mruns/detect/predict2\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "%cd {HOME}\n",
        "!yolo task=detect mode=predict model={HOME}/runs/detect/train/weights/best.pt conf=0.25 source={dataset.location}/test/images save=True"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd {HOME}\n",
        "!yolo task=detect mode=predict model={HOME}/runs/detect/train/weights/best.pt conf=0.2 source=\"/content/drive/MyDrive/Data/2.jpg\" save=True"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9DbusoGNaof1",
        "outputId": "44a3341a-96a6-42b7-a23d-f9d98f69fd11"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/datasets\n",
            "2023-05-19 23:56:05.286989: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-05-19 23:56:06.151039: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Ultralytics YOLOv8.0.20 🚀 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 11139516 parameters, 0 gradients, 28.5 GFLOPs\n",
            "image 1/1 /content/drive/MyDrive/Data/2.jpg: 224x128 11 knifes, 2 scissorss, 55.9ms\n",
            "Speed: 0.5ms pre-process, 55.9ms inference, 105.7ms postprocess per image at shape (1, 3, 224, 224)\n",
            "Results saved to \u001b[1mruns/detect/predict8\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd {HOME}\n",
        "Image(filename='runs/detect/predict8/2.jpg', height=600)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "id": "nxXtlw7ubDYP",
        "outputId": "83358a3f-d362-47cc-d4d7-5f54040740b0"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/datasets\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/jpeg": 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