what is the difference between normal image and augmented image data as input to convolutional neural network ?? why augmented image is showing more accuracy ??

what are the different types of augmentation of image ?

Answer 1

[Mahmoud Afifi]

Data augmentation adds more variety to what the CNN sees during training. This augmentation could be a single pixel shit that introduces “new” data sample to the CNN. Of course more variety in training data increases the robustness of your model. But remember to use a realistic data augmentation that can represent expected conditions on the testing images. Check this Article that discusses this issue (it is mainly about color augmentation, but we can generalize this issue to other augmentation techniques).