What is RectLabel?
RectLabel provides an offline solution for image annotation, specifically tailored for object detection and segmentation projects. It enables users to label images effectively without requiring an internet connection. The tool incorporates advanced capabilities such as the Segment Anything Model 2 for polygon and pixel labeling, alongside automatic labeling facilitated by Core ML models.
Users can precisely annotate various elements within images, including cubic bezier curves, line segments, points, oriented bounding boxes (useful for aerial imagery), and keypoints with skeletons. It also offers pixel-level annotation using brushes and superpixels, complemented by automatic text recognition for lines and words. RectLabel features customizable settings for objects, attributes, and hotkeys to enhance labeling speed and efficiency, along with search capabilities within a gallery view.
Features
- Segment Anything Model 2 Integration: Label polygons and pixels efficiently.
- Core ML Automatic Labeling: Automate the labeling process using machine learning models.
- Automatic Text Recognition: Recognize and label text lines and words automatically.
- Versatile Annotation Tools: Label cubic bezier curves, line segments, points, oriented bounding boxes, and keypoints with skeletons.
- Pixel-Level Labeling: Use brushes and superpixels for detailed pixel annotation.
- Multiple Export Formats: Export annotations to YOLO, COCO, CreateML, and DOTA formats.
- Customizable Settings: Adjust settings for objects, attributes, hotkeys for faster labeling.
- Search Functionality: Search object, attribute, image names, and memos within a gallery view.
- Image/Video Processing: Convert video to image frames and augment images.
Use Cases
- Annotating images for object detection models.
- Creating datasets for image segmentation tasks.
- Labeling aerial imagery for analysis.
- Annotating keypoints for pose estimation.
- Generating training data for Core ML models.
- Creating datasets in YOLO, COCO, CreateML, or DOTA formats.
- Labeling text within images for OCR tasks.
FAQs
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What is the difference between RectLabel and RectLabel Pro?
RectLabel Pro offers a one-time payment license, supports volume purchases, and has no network connections due to the absence of in-app purchases. The standard RectLabel uses subscription plans ($2.99/month or $9.99/year). Both apps offer the same features. -
What export formats does RectLabel support?
RectLabel supports exporting annotations to YOLO, COCO, CreateML, and DOTA formats, as well as indexed color mask images and grayscale mask images. -
Does RectLabel work offline?
Yes, RectLabel is designed as an offline image annotation tool. RectLabel Pro specifically has no network connections. -
Can RectLabel automatically label images?
Yes, RectLabel supports automatic labeling using Core ML models and automatic text recognition. It also integrates the Segment Anything Model 2 for labeling polygons and pixels.
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