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difference between training and testing

Open fsalmasri opened this issue 9 months ago • 0 comments

I'm using your model core, training and testing procedure. I only changed the dataloader.

So I'm doing an overfitting of 200 images, using the same images for training and testing.

During training my loss goes to zero. Also, when I inspect the bbx between the prediction and output the are the same.

Only when I do testing,I see a huge difference in values or scales between the values and my validation goes to 0.

fsalmasri avatar May 03 '24 17:05 fsalmasri