RectLabel
macOS / developpeurs
RectLabel is an offline image annotation tool for object detection and segmentation.
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.
How to use
https://rectlabel.com
Privacy policy
https://rectlabel.com/privacy
Terms of Use
https://rectlabel.com/terms
The standard RectLabel offers subscription plans, $2,99/month and $9.99/year.
RectLabel Pro offers a one-time payment plan, $19.99/one-time.
Both apps can use all features.
Quoi de neuf dans la dernière version ?
- Corresponded to RF-DETR Core ML models.
How to Train a RF-DETR Object Detection Model with Custom Data
https://rectlabel.com/rfdetr_detection
How to Train a RF-DETR Instance Segmentation Model with Custom Data
https://rectlabel.com/rfdetr_segmentation
- Exported split folders became train/valid/test.
- Exported COCO file name became _annotations.coco.json.
- Added "Convert pixels mask to polygon" option when exporting a COCO file.
