DravenALG/GraspNet-1Billion

---
license: cc-by-nc-sa-4.0
task_categories:
- robotics
tags:
- grasping
pretty_name: GraspNet-1Billion (Unofficial Mirror)
size_categories:
- 100M<n<1B
---

# GraspNet-1Billion (Unofficial Mirror)

<div style="background-color: #f5f5f5; border: 1px solid #e0e0e0; padding: 10px; border-radius: 5px;">
<strong>⚠️ DISCLAIMER / 声明:</strong><br>
This is an <strong>UNOFFICIAL</strong> mirror/upload of the GraspNet-1Billion dataset. This repository is maintained solely for ease of access and research reproducibility. <br>
<br>
I do not own the rights to this data. All rights belong to the original GraspNet team, MVIG, and SJTU.
</div>

## 🔗 Official Sources / 官方源

Please always refer to the official website for the latest updates, and documentation:
* **Official Website:** [https://graspnet.net/](https://graspnet.net/)
* **Official Downloads:** [https://graspnet.net/datasets.html](https://graspnet.net/datasets.html)

## 📜 License / 许可协议

**License:** Creative Commons Attribution 4.0 Non Commercial License (CC BY-NC-SA 4.0)

According to the official statement:
> All data, labels, code and models belong to the graspnet team, MVIG, SJTU and are licensed under a Creative Commons Attribution 4.0 Non Commercial License (BY-NC-SA). They are freely available for free non-commercial use, and may be redistributed under these conditions. For commercial queries, please drop an email at fhaoshu at gmail.com and cc lucewu at sjtu.edu.cn .

## 📚 Citation / 引用

If you use this dataset in your research, please explicitly cite the official papers as requested by the authors:

```bibtex
@article{fang2023robust,
title={Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset},
author={Fang, Hao-Shu and Gou, Minghao and Wang, Chenxi and Lu, Cewu},
journal={The International Journal of Robotics Research},
year={2023},
publisher={SAGE Publications Sage UK: London, England}
}

@inproceedings{fang2020graspnet,
title={GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping},
author={Fang, Hao-Shu and Wang, Chenxi and Gou, Minghao and Lu, Cewu},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={11444--11453},
year={2020}
}