RectLabel
An offline image annotation tool for object detection and segmentation.
To download RectLabel apps.
Post the problem to our Github issues.
If you need to implement RectLabel-like app in your system, please contact us. support@rectlabel.com
Help
- Settings menus
- File menus
- Export menus
- Edit menus
- Core ML menus
- View menus
- Pricing
- Privacy Policy
- Terms of Use
- About team
- Papers cited RectLabel
- How to Train a RF-DETR Object Detection Model with Custom Data
- How to Train a RF-DETR Instance Segmentation Model with Custom Data
- How to Train a YOLO26 Object Detection Model with Custom Data
- How to Train a YOLO26 Classification Model with Custom Data
- How to Train a YOLO26 Instance Segmentation Model with Custom Data
- Convert pixels mask to polygon using the polygon smooth scrollbar
- Segment Anything Model 2 CPP Wrapper for macOS and Ubuntu GPU
- Segment Anything Model 3 CPP Wrapper for macOS and Ubuntu GPU
- Install CUDA, cuDNN, PyTorch, and ONNX Runtime on Ubuntu 24.04 in 30 minutes
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.