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ryouchinsa/Rectlabel-support
ryouchinsa/Rectlabel-support has 551 GitHub stars and 71 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 13:38 UTC. Last push 2026-06-10.
What you can do
- Using text and box prompts of Segment Anything Model 3, multiple objects are labeled at once
- Label polygons and pixels using Segment Anything Model 2
- Label polygons and pixels using Cellpose model
- Label bounding boxes using Tracking model
Progression mesurée des étoiles
- in 24h
- 0
- in 7 days
- Historique en cours
- in 15 days
- Historique en cours
- in 1 month
- Historique en cours
Variations nettes sur des périodes qui se chevauchent, pas des totaux quotidiens. Les mesures absentes restent vides. Les étoiles indiquent l’intérêt, pas la qualité.
À propos
RectLabel is an offline image annotation tool for object detection and segmentation.
Apprentissage automatiqueREADME.md
OriginalRectlabel-support
This is the support page for RectLabel.
To download RectLabel apps.
How to use? Read our Help page.
Post feature requests to Issues page.
If you need to implement RectLabel-like app in your system, please contact us. [email protected]
Key features
- Using text and box prompts of Segment Anything Model 3, multiple objects are labeled at once
- Label polygons and pixels using Segment Anything Model 2
- Label polygons and pixels using Cellpose model
- Label bounding boxes using Tracking model
- Automatic labeling using Core ML models including RF-DETR and YOLO26
- Automatic text recognition for lines and words
- Label cubic bezier curves, line segments, and points
- Label oriented bounding boxes in aerial images
- Label keypoints with a skeleton
- Label pixels with brushes and superpixels
- Settings for objects, attributes, hotkeys, and labeling fast
- Search object, attribute, image names, and memo in a gallery view
- Export to YOLO, COCO, CreateML, and DOTA formats
- Export indexed color mask image and grayscale mask images
- Video to image frames, augment images, etc.