wkentaro/labelme
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Built with Qt for its GUI, labelme stores annotations as JSON files and supports exporting to VOC and COCO dataset formats for segmentation and detection tasks. It integrates SAM/EfficientSAM models for AI-assisted polygon generation and YOLO-world/SAM3 for text-prompted annotations, enabling efficient dataset creation workflows for computer vision projects.
15,641 stars. Actively maintained with 130 commits in the last 30 days.
Stars
15,641
Forks
3,648
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
130
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wkentaro/labelme"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and...
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
doccano/doccano
Open source annotation tool for machine learning practitioners.
autodistill/autodistill
Images to inference with no labeling (use foundation models to train supervised models).