Is image sharpening a good idea for data augmentation?

datascience.stackexchange https://datascience.stackexchange.com/questions/48529

Question

I'm training segmentation networks and while the dataset is somehow decent (~5k images) I wanted to augment it, so far I'm trying:

  • RandomFlip
  • RandomRotate
  • RandomBrightness changes
  • RandomShadows

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?

No correct solution

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