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RectLabel is an offline image annotation tool for object detection and segmentation.

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An offline image annotation tool for object detection and segmentation.

To download RectLabel apps.

Post the problem to our Github issues.

Have questions? Send an email to support@rectlabel.com.

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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
  • 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 COCO, Labelme, CreateML, YOLO, and DOTA formats
  • Export indexed color mask image and grayscale mask images
  • Video to image frames, augment images, etc.

sam3_polygon sam3_pixels sam2_polygon sam2_pixels cellpose_polygon coreml_polygon ocr draw_obb search5

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RectLabel is an offline image annotation tool for object detection and segmentation.

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