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CropCOCO Dataset

CropCOCO is a validation-only dataset of COCO val 2017 images cropped such that some keypoints annotations are outside of the image. It can be used for keypoint detection, out-of-image keypoint detection and localization, person detection and amodal person detection.

GitHub arXiv Website

πŸ“¦ Dataset Details

  • Total images: 4,114
  • Annotations: COCO-style (bounding boxes, human keypoints, both in and out-of-image)
  • Resolution: Varies
  • Format: JSON annotations + JPG images

πŸ” Tasks

  • Human Pose Estimation
  • Person Detection
  • Amodal Person Detection

πŸ“„ Citation

If you use CropCOCO in your research, please cite:

@inproceedings{probpose2025,
  title={{ProbPose: A Probabilistic Approach to 2D Human Pose Estimation}}, 
  author={Miroslav Purkrabek and Jiri Matas},
  year={2025},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
}

πŸ§‘β€πŸ’» Authors

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Paper for vrg-prague/CropCOCO