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Augmentor: An Image Augmentation Library for Machine Learning

2017; Open Journals; Volume: 2; Issue: 19 Linguagem: Inglês

10.21105/joss.00432

2475-9066

Marcus Bloice, Christof Stocker, Andreas Holzinger,

Medical Image Segmentation Techniques

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.