README.md

---
license: gpl-3.0
tags:
  - human-pose-estimation
  - computer-vision
  - person-detection
  - amodal-person-detection
size_categories:
  - 1K<n<10K
task_categories:
  - keypoint-detection
  - object-detection
language:
  - en
---

# 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](https://img.shields.io/badge/GitHub-black?style=flat&logo=github&logoColor=white)](https://github.com/MiraPurkrabek/ProbPose_code)
[![arXiv](https://img.shields.io/badge/arXiv-2412.02254-b31b1b?style=flat)](https://arxiv.org/abs/2412.02254)
[![Website](https://img.shields.io/badge/Project%20Website-blue?style=flat&logo=google-chrome&logoColor=white)](https://mirapurkrabek.github.io/ProbPose/)


## 📦 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:

```bibtex
@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](https://github.com/MiraPurkrabek))
- Jiri Matas ([personal website](https://cmp.felk.cvut.cz/~matas/))