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Reproduce performance of YOLOv9 #163

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johannes-tum opened this issue Jan 28, 2025 · 2 comments
Open

Reproduce performance of YOLOv9 #163

johannes-tum opened this issue Jan 28, 2025 · 2 comments

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@johannes-tum
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Hi,

to what extent could you already reproduce the results of the official YOLOv9 (and YOLOv7) repository?

Best wishes

Johannes

@tloki
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tloki commented Jan 28, 2025

In my experience, Yolo-V9-S with coco trained weights (and used on subset of classes - 23 of them) exceeds accuracy of original implementation of yolov9 repo (also stock coco weights and 23 classes).

I tested usin pycocotools.

@johannes-tum
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johannes-tum commented Jan 28, 2025

That sounds great. Have you also tried larger models like the c model? Did you make any changes to the repository? Did you use the COCO pretrained weights from the official yolov9 repo? And what was the dataset you finetuned / tested on?

I am surprised that you even exceeded the performance, because this new repository deactivates some strong data augmentations like Mixup?

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