albumentations-team/albumentations

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

15315 stars · 1709 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Albumentations is a fast, flexible Python image augmentation library for computer vision, supporting images, masks, bounding boxes, keypoints, volumes, and 3D data with a broad transform catalog. This MIT-licensed repository is archived and no longer maintained; active development has moved to the dual-licensed (AGPL-3.0/commercial) AlbumentationsX successor.

Use cases

• augment images for training deep learning models
• augment images and masks together for segmentation
• augment bounding boxes for object detection datasets
• build fast reproducible augmentation pipelines in PyTorch DataLoader workers
• apply test-time augmentation for computer vision
• create custom image transforms for domain-specific data

When to choose

• you need a permissively MIT-licensed augmentation library and your current version works fine
• you want target-aware transforms that keep masks, boxes, and keypoints consistent with images
• you need a mature, widely adopted library with a large transform catalog

When to avoid

• you need bug fixes, new features, or compatibility with newer Python/PyTorch versions
• you want active development and support - use AlbumentationsX instead
• you need commercial support guarantees

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision machine-learning image-processing python cross-platform image-augmentation data-augmentation object-detection segmentation pytorch training-pipelines archived

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