Results of the YOLOv5x-seg model

kim2429 commented 9 months ago

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Question

Hello, I have a question about the results of the YOLOv5x-seg model.

I trained this model three times using the same dataset and got identical results of precision, recall, mAP, mask mAP, etc.

The command I used to train the model is below. python segment/train.py --data data/***.yaml --cfg models/segment/yolov5x-seg.yaml --weight yolov5x-seg.pt --img 640 --batch 16 --epochs 1000

Do you know if this is normal?

Additional

No response

github-actions[bot] commented 9 months ago

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glenn-jocher commented 9 months ago

@kim2429 this is expected behavior 🚀. The deterministic results arise from reproducible training, coupled with the model's convergence to stable metrics. To further investigate, consider the dataset quality and model hyperparameters. For more information, refer to Ultralytics Docs 📚.

kim2429 commented 9 months ago

Thank you for your response :))

glenn-jocher commented 9 months ago

@kim2429 you're welcome! 😊 Our YOLOv5 community and the Ultralytics team are here to help with any questions or issues you may have. Keep up the great work!

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