How can I fix data augmentation issues in my model?

How can I fix data augmentation issues in my model?

First, can you describe the specific issues you're facing with data augmentation?

My model is overfitting, and the augmented data doesn't seem to help.

Overfitting can occur if the augmented data is too similar to the original. Have you tried varying the augmentation techniques?

I used rotation and flipping, but it still doesn't work.

Consider adding more diverse augmentations like color jittering or random cropping. This can help improve generalization.

That sounds good! How do I implement color jittering?

You can use libraries like TensorFlow or PyTorch. They have built-in functions for color jittering. Would you like code examples?