RectLabel

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• About team
• Papers cited RectLabel
• Install CUDA, cuDNN, and PyTorch on Ubuntu 22.04
• Train bounding boxes using a Faster R-CNN model on Detectron2
• Train polygons using a Mask R-CNN model on Detectron2
• Train RLE masks using a Mask R-CNN model on Detectron2
• Train keypoints using a Keypoint R-CNN model on Detectron2

Key features

• Label polygons and pixels using Segment Anything Model 2
• 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.