Augmentor is an image augmentation library designed for machine learning workflows. It employs a stochastic pipeline approach using building blocks that can be combined to apply real-world relevant augmentation techniques to images. The library is platform and framework independent, providing fine-grained control over augmentation operations for training computer vision models.