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This model I trained the model using Google Codelab environment to implement the code, use WANDB-AI API to save training log history, and run the training model on a Codelab with a GPU (T4). The dataset annotation was split into 80% training and 15% valid and 5% testing set use for train model.

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mintheinwin/ImageDetectionYOLOv8s

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ImageDetectionYOLOv8s

This model I trained the model using Google Codelab environment to implement the code, use WANDB-AI API to save training log history, and run the training model on a Codelab with a GPU (T4). The dataset annotation was split into 80% training and 15% valid and 5% testing set use for train model. #Export Model

#Detect wildlife for Tiger and Lion

model

• Hugging Face Model Link: https://huggingface.co/ITI107-2024S2/3907578Y

#for testing • Hugging Face Space Link: https://huggingface.co/spaces/ITI107-2024S2/3907578Y

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This model I trained the model using Google Codelab environment to implement the code, use WANDB-AI API to save training log history, and run the training model on a Codelab with a GPU (T4). The dataset annotation was split into 80% training and 15% valid and 5% testing set use for train model.

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