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Kind of a silly question, but I read that data Augmentation can be used in order to solve problem of small datasets. In my case, I've got a dataset with 5 different classes and around 2k examples per class. After performing various image transformations, do I merge the augmented dataset with original dataset into a new, bigger (around 20k image) dataset, or did I misunderstood this procedure?

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Yes, use all the data you can.

The goal behind data augmentation is to indeed create more data points from a smaller set of instances. Therefore, you definitely want to keep your original data in there, since especially, this is the only "pure" data you have.

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