#201 · Primary category: Computer Vision

AlbumentationsX

3d augmentation bounding-box computer-vision data-augmentation deep-learning deeplearning image-augmentation image-classification image-processing image-segmentations instance-segmentation keypoint-detection machine-learning medical-imaging object-detection python pytorch segmentation tensorflow

Next-generation Albumentations: dual-licensed for open-source and commercial use

Project last updated:08/29/26

GitHub Stars

544

Forks

40

Contributors

15

License

AGPL-3.0

Why we included this project

AlbumentationsX is the follow-up to the Albumentations library, and it keeps the same core idea: fast image transforms that also update the annotations attached to each image. Masks, bounding boxes, keypoints, and 3D volumes get transformed in step with the pixels, which matters for object detection, segmentation, pose, and medical imaging pipelines where a careless crop or flip can silently break labels. The transforms run inside PyTorch, TensorFlow/Keras, and JAX training loops, usually in Dataset or DataLoader workers before tensors reach the model. One thing to weigh before adopting it is the license: the package is AGPL-3.0-only, with a separate commercial license available, so teams should factor that into production plans.

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