I would like to ask why we use different image processing at train and test for an image classification task. For example, this pytorch tutorial uses RandomResizedCrop at train time and then Resize + CenterCrop at test time.
However, I'm unable to figure out why nor find any documentation online as to why this is the case. Please help me shed some light on this. Thank you.