I. Introduction
Data augmentation is one of the promising ways to solve the problem of data scarcity and especially during the training phase of the dataset classification based on deep learning techniques. This approach consists of generating additional samples to make the available datasets much bigger by applying significant processing on them in order to improve the classification accuracy and to increase its degree of stability.