Description
RectLabel is an offline image annotation tool developed by Ryo Kawamura, aimed at simplifying the process of object detection and segmentation for macOS users. Released in 2017, it has become a popular choice for developers due to its intuitive interface and robust functionality. RectLabel supports automatic labeling using Core ML models, including RF-DETR and YOLO26, allowing users to efficiently annotate images with minimal manual input.
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The tool offers a range of features such as labeling polygons, pixels, bounding boxes, and keypoints with skeletons. Users can also label cubic bezier curves, line segments, and oriented bounding boxes in aerial images. RectLabel's export capabilities include formats like YOLO, COCO, CreateML, and DOTA, catering to diverse project requirements.
Pricing for RectLabel includes a standard subscription plan at $2.99/month or $9.99/year, with a free trial period available. RectLabel Pro offers a one-time payment plan of $19.99, suitable for long-term use. Both versions provide access to all features, ensuring flexibility for different user needs.
Targeted at developers and researchers, RectLabel is designed to save time and resources, allowing users to focus on their core projects. Its offline nature ensures privacy and security, making it a reliable choice for sensitive data handling. While RectLabel is a powerful tool, users should be aware of its macOS exclusivity, which may limit accessibility for non-macOS users.
- CategoryComputer Vision Tools
- Pricing ModelFreemium
- DeploymentOffline
- PlatformsmacOS
RectLabel's Core Features
Offline image annotation
Object detection and segmentation
Automatic labeling with Core ML models
Label polygons and pixels
Export to YOLO, COCO, CreateML, DOTA
Label bounding boxes and keypoints
Subscription and one-time payment plans
Free trial available
How to use RectLabel?
Download: Obtain RectLabel from the website
Configure: Set up labeling preferences and hotkeys
Annotate: Use models to label images automatically
Export: Save annotations in desired formats
RectLabel's Use Cases
- Object Detection
- Image Segmentation
- Automatic Labeling
- Export Formats
- Privacy-Sensitive Projects
