Python tips and tricks - 3: Be conservative with image augmentation

Image augmentation may hurt your model accuracy if you're not careful. Always test you augmentation operations first on a smaller dataset and then incrementally verify its accuracy before using it in your final model training. Link to the file from this video: https://github.com/bnsreenu/python_fo... Link to my GitHub account: https://github.com/bnsreenu/python_fo...

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207 - Using IoU (Jaccard) as loss function to train U-Net for semantic segmentation

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