imgaug - Image Augmentation Library

imgaug is a Python library for image augmentation in machine learning experiments, particularly for deep neural networks. It supports a wide range of augmentation techniques for images, keypoints/landmarks, bounding boxes, heatmaps, and segmentation maps. The library allows for easy combination of augmenters into sequences, execution in random order or on multiple CPU cores, and provides a powerful stochastic interface. The current stable version is 0.4.0, with releases historically every few months, though the last release was in early 2020.