I'm training a segmentation model (computer-vision). Thus, my dataset contains images and masks (binary segmentation of objects).
I'm augmenting the training dataset (applying random crop, rotation or shift etc.) to get a larger dataset. I don't apply augmentation on test and validation dataset.
Should I use augmentation on the validation dataset or the test dataset too ?