Key points are not available for this paper at this time.
Augmentor is an image augmentation library for machine learning. It provides a stochastic, pipeline-based API for the generation of image data by effectively allowing new image data to be sampled at runtime according to a user-defined set of operations and parameters. Common operations include arbitrary rotations, mirroring, shearing, skewing, and random crops, as well as less frequently implemented operations such as randomised elastic distortions or random erasing (Simard et al.
Bloice et al. (2017) studied this question.