ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
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2412.02254
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Published
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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.
📦 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
🔍 Tasks
- Human Pose Estimation
- Person Detection
- Amodal Person Detection
📄 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)},
}
🧑💻 Authors
- Miroslav Purkrabek (personal website)
- Jiri Matas (personal website)
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Size of downloaded dataset files:
119 MB
Size of the auto-converted Parquet files:
119 MB
Number of rows:
4,114