Datasets:
metadata
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.
📦 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)