aleju/imgaug

Image augmentation for machine learning experiments.

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Supports augmentation of diverse annotation types—heatmaps, segmentation maps, keypoints, bounding boxes, and polygons—with automatic coordinate alignment so transformations apply consistently across all data types. Provides 50+ geometric and photometric operations (affine, perspective, contrast, noise, blur) optimized for batch processing, with composable pipelines that apply random augmentations in configurable orders. Integrates seamlessly with numpy arrays and major ML frameworks through a NumPy-based architecture, enabling deterministic augmentation through seed control.

14,732 stars and 824,819 monthly downloads. Used by 11 other packages. No commits in the last 6 months. Available on PyPI.

Stale 6m
Maintenance 0 / 25
Adoption 25 / 25
Maturity 25 / 25
Community 23 / 25

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Stars

14,732

Forks

2,464

Language

Python

License

MIT

Last pushed

Jul 30, 2024

Monthly downloads

824,819

Commits (30d)

0

Dependencies

9

Reverse dependents

11

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