I'm training segmentation networks and while the dataset is somehow decent (~5k images) I wanted to augment it, so far I'm trying:
- RandomBrightness changes
Due to constraints of the problem I can't do random crops or shifts. Other than those augmentations I was looking into image sharpening, and was wondering if it could be a good candidate for dataset augmentation. I could find it in some web articles and many augmentation projects on Github, but I can't find any solid papers that refer to it as a possible augmentation technique. Does anyone have some experience/tips on the matter?