I
imgaug
aleju/imgaug
Image augmentation for machine learning experiments.
★14.7kstars
Python
MIT
Updated: Today
📋 Project at a Glance
Tap to expand
What's this?A , built with Python open-source project in the Data & Infrastructure category, core strengths: affine-transformation/augment-images
Who made it?Maintained by aleju team, 14.7K⭐ on GitHub, #127 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the aleju team identified the need for better affine-transformation solutions. imgaug was created to simplify augment-images workflows.
What can it do?Key use cases: augmentation, bounding-boxes, contrast
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/aleju/imgaug | 官网 http://imgaug.readthedocs.io
🔗 github.com/aleju/imgaug | 官网 http://imgaug.readthedocs.io
Topics
affine-transformationaugment-imagesaugmentationbounding-boxescontrastcropdeep-learningheatmapimage-augmentationimageskeypointsmachine-learningpolygonsegmentation-maps