RectLabel

An offline image annotation tool for object detection and segmentation

Download on the App Store
Label polygons using Segment Anything models Label cubic bezier curves, line segments, and points Editing points to fit the shape Export indexed color mask image and grayscale mask images Label oriented bounding boxes in aerial images Label keypoints with a skeleton Export keypoints and pixels objects to COCO format Label pixels with brushes and superpixels Label pixels with brushes and superpixels Automatic labeling using Core ML models Automatic labeling using Core ML models Automatic labeling using Core ML models Automatic text recognition using Vision framework Settings for objects, attributes, hotkeys, and labeling fast Search object, attribute, and image names in a gallery view Video to image frames, augment images, etc. Video to image frames, augment images, etc.

Key features

Label polygons using Segment Anything models

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

Automatic labeling using Core ML models

Automatic text recognition using Vision framework

Settings for objects, attributes, hotkeys, and labeling fast

Search object, attribute, and image names in a gallery view

Export to COCO, Labelme, CreateML, YOLO, DOTA, and CSV formats

Export indexed color mask image and grayscale mask images

Video to image frames, augment images, etc.

Privacy policy

We do not collect any images, annotations, and settings data.

Terms of Use

Each device used serially or collectively by multiple users requires a separate license.

Report issues

Post the problem to our Github issues page.

Have questions?

Send an email to support@rectlabel.com.

Thank you.