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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
| Date | Stars |
|---|---|
| 2026-07-24 | 16067 |
| 2026-07-25 | 16069 |
| 2026-07-28 | 16072 |
| 2026-07-30 | 16072 |
| 2026-08-06 | 16072 |
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<h1 align="center"> <img src="labelme/icons/icon-256.png" width="200" height="200"><br/>labelme </h1> <h4 align="center"> Image annotation with Python. </h4> <div align="center"> <a href="https://pypi.python.org/pypi/labelme"><img src="https://img.shields.io/pypi/v/labelme.svg"></a> <!-- <a href="https://pypi.org/project/labelme"><img src="https://img.shields.io/pypi/pyversions/labelme.svg"></a> --> <a href="https://github.com/wkentaro/labelme/actions"><img src="https://github.com/wkentaro/labelme/actions/workflows/test.yml/badge.svg?branch=main&event=push"></a> <a href="https://discord.com/invite/uAjxGcJm83"><img src="https://dcbadge.limes.pink/api/server/uAjxGcJm83?style=flat"></a> </div> <div align="center"> <a href="#installation"><b>Installation</b></a> | <a href="#usage"><b>Usage</b></a> | <a href="#examples"><b>Examples</b></a> | <a href="https://labelme.io"><b>labelme.io ↗</b></a> <!-- | <a href="https://github.com/wkentaro/labelme/discussions"><b>Community</b></a> --> <!-- | <a href="https://www.youtube.com/playlist?list=PLI6LvFw0iflh3o33YYnVIfOpaO0hc5Dzw"><b>Youtube FAQ</b></a> --> </div> <br/> <div align="center"> <img src="examples/instance_segmentation/.readme/annotation.jpg" width="70%"> </div> ## Description Labelme is a graphical image annotation tool inspired by <http://labelme.csail.mit.edu>.\ It is written in Python and uses Qt for its graphical interface. > Looking for a simple install without Python or Qt? Get the standalone app at **[labelme.io](https://labelme.io)**. <img src="examples/instance_segmentation/data_dataset_voc/JPEGImages/2011_000006.jpg" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationClass/2011_000006.png" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000006.jpg" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationObject/2011_000006.png" width="19%" /> <img src="examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000006.jpg" width="19%" />\ <i>VOC dataset example of instance segmentation.</i> <img src="examples/semantic_segmentation/.readme/annotation.jpg" width="30%" /> <img src="examples/bbox_detection/.readme/annotation.jpg" width="30%" /> <img src="examples/classification/.readme/annotation_cat.jpg" width="35%" />\ <i>Other examples (semantic segmentation, bbox detection, and classification).</i> <img src="https://user-images.githubusercontent.com/4310419/47907116-85667800-de82-11e8-83d0-b9f4eb33268f.gif" width="30%" /> <img src="https://user-images.githubusercontent.com/4310419/47922172-57972880-deae-11e8-84f8-e4324a7c856a.gif" width="30%" /> <img src="https://user-images.githubusercontent.com/14256482/46932075-92145f00-d080-11e8-8d09-2162070ae57c.png" width="32%" />\ <i>Various primitives (polygon, rectangle, circle, line, and point).</i> <img src="https://github.com/user-attachments/assets/53bf09db-b097-48b7-9f32-ab490da5ac53" width="32%" /> <p><i>Multi-language support (English, 中文, 日本語, 한국어, Deutsch, Français, and more).</i></p> ## Features - [x] Image annotation for polygon, rectangle, circle, line and point ([tutorial](examples/tutorial)) - [x] Image flag annotation for classification and cleaning ([#166](https://github.com/wkentaro/labelme/pull/166)) - [x] Video annotation ([video annotation](examples/video_annotation)) - [x] GUI customization (predefined labels / flags, auto-saving, label validation, etc) ([#144](https://github.com/wkentaro/labelme/pull/144)) - [x] Exporting VOC-format dataset for [semantic segmentation](examples/semantic_segmentation), [instance segmentation](examples/instance_segmentation) - [x] Exporting COCO-format dataset for [instance segmentation](examples/instance_segmentation) - [x] AI-assisted point-to-polygon/mask annotation by SAM, EfficientSAM models - [x] AI text-to-annotation by YOLO-world, SAM3 models **🌏 Available in 20 languages** - Englis
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0eb2bb12fee265c2, topic:computer-vision, readme:semantic segmentation, readme:instance segmentation
matched fp:0eb2bb12fee265c2, topic:deep-learning