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@@ -46,8 +46,8 @@ Since evaluation of this challenge is on 20% of the train dataset, we need to be
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  Indeed, a high accuracy in the part of the train dataset could hide the over-fitting of the model.
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  That is what I've been dealing with when reaching 0.91 accuracy of the model and 0.81 mean_iou on the train dataset:
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- I can see over-fitting while over-performance on the train dataset (see picture below) - model is used for submission and is called yolo11_tr_20012025_frugalAIchal.pt
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/666354284044e2b1c3287c22/LptPoEeSGH22MG_XftxdP.png)
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  As a data scientist, another model has been trained and evaluated on the whole "val" dataset.
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  Indeed, a high accuracy in the part of the train dataset could hide the over-fitting of the model.
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  That is what I've been dealing with when reaching 0.91 accuracy of the model and 0.81 mean_iou on the train dataset:
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+ I can see over-fitting while over-performance on the train dataset (see picture below) - model is used for submission and is called [yolo11_tr_20012025_frugalAIchal.pt](https://huggingface.co/spaces/tom-b974/Frugal_AI_image_2025/blob/main/yolo11_tr_20012025_frugalAIchal.pt)
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/666354284044e2b1c3287c22/LptPoEeSGH22MG_XftxdP.png" alt="Example image" width="300">
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  As a data scientist, another model has been trained and evaluated on the whole "val" dataset.
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