Data augmentation is a technique used to artificially increase the size of the training data set by applying different transformations to the images such as rotation, flipping, scaling, and random cropping.
Data augmentation is a technique used to artificially increase the size of the training data set by applying different transformations to the images such as rotation, flipping, scaling, and random cropping.