Data Augmentation :

🎯 Data augmentation is a technique through which one can increase the size of the data for the training of the model without adding the new data. Techniques like padding, cropping, rotating, and flipping are the most common methods that are used over the images to increase the data size.

Note: Both Keras Preprocessing Layers and tf.image can be used for data augmentation. For finer control , tf.image is preferred.