Data augmentation in test/validation set?

Question

It is common practice to augment data (add samples programmatically, such as random crops, etc. in the case of a dataset consisting of images) on both training and test set, or

Answer 1

In computer vision, you can use data augmentation during test time to obtain different views on the test image. You then have to aggregate the results obtained from each image for example by averaging them.

For example, given this symbol below, changing the point of view can lead to different interpretations :