Yolo and overfitting, which graph is leading ?

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  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  • The following issue at GitHub asks which graph to use for inspecting overfitting. https://github.com/ultralytics/yolov5/issues/5061 . Indeed, in this example one can see that for val/box_loss there is still room to improve, however val/obj_loss reached a plateau and the minimum loss is at around 40 epochs. Unfortunately, reading this GitHub issue the answer is not straightforward and so I was wondering if there are any rules.

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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