I understand the function of tf.image augmentations, but I want to not only have the augmented images in my dataset, but also keep the original images as well. That way I will have the original, and many augmented versions, thus expanding the dataset. How can I do this in TensorFlow or Keras? Thanks. Preferably by implemented in a data pipeline as well.

CodePudding user response：