Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection.
Albumentations requires Python 3.5 or higher. To install the library from PyPI run:
pip install albumentations
To make quick-start easier we've made a bunch of examples on using our library for various tasks. Check them here:
Albumentations supports different computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection, and pose estimation.
Albumentations works well with data from different domains: photos, medical images, satellite imagery, manufacturing and industrial applications, Generative Adversarial Networks.