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license: gpl-3.0
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---
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license: gpl-3.0
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tags:
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- human-pose-estimation
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- computer-vision
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- person-detection
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- amodal-person-detection
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size_categories:
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- 1K<n<10K
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task_categories:
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- keypoint-detection
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- object-detection
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language:
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- en
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---
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# CropCOCO Dataset
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CropCOCO is a validation-only dataset of COCO val 2017 images cropped such that some keypoints annotations are outside of the image.
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It can be used for keypoint detection, out-of-image keypoint detection and localization, person detection and amodal person detection.
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[](https://github.com/MiraPurkrabek/ProbPose_code)
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[](https://arxiv.org/abs/2412.02254)
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[](https://mirapurkrabek.github.io/ProbPose/)
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## 📦 Dataset Details
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- **Total images**: 4,114
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- **Annotations**: COCO-style (bounding boxes, human keypoints, both in and out-of-image)
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- **Resolution**: Varies
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- **Format**: JSON annotations + JPG images
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## 🔍 Tasks
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- **Human Pose Estimation**
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- **Person Detection**
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- **Amodal Person Detection**
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## 📄 Citation
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If you use CropCOCO in your research, please cite:
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```bibtex
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@inproceedings{probpose2025,
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title={{ProbPose: A Probabilistic Approach to 2D Human Pose Estimation}},
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author={Miroslav Purkrabek and Jiri Matas},
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year={2025},
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booktitle={Computer Vision and Pattern Recognition (CVPR)},
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}
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```
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## 🧑💻 Authors
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- Miroslav Purkrabek ([personal website](https://github.com/MiraPurkrabek))
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- Jiri Matas ([personal website](https://cmp.felk.cvut.cz/~matas/))
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