---
license: cc-by-nc-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Griffon V2 12M Dataset Card
---

# Griffon v2 12M Dataset Card

## News

** [2025/08/10] ** We are happy to announce that [Griffon v2](https://arxiv.org/abs/2403.09333) is accepted to ICCV 2025.

## Dataset details

We provide 12M data used in the stage 2 training of Griffon v2. In this repo, we provide the processed annotation files for Obejct Detection, REC/REG, Visual Grounding, and Non-existing Judging tasks in the paper, and also the self-collected object counting data.

### Self-Counting Data

The counting data includes three parts, ```CT-datasets-new.tar.gz```, ```CountAnythingV1_clean.tar.gz```, and ```train_visual_openimages_cocostyle_cls601.json```. For the file ends with tar.gz, it contains both the annotation file and also the images. While for the data collected from the OpenImages, please download the OpenImages2019 train images.

### Other Data

For other annotations, please download the images from the following datasets: COCO(train2014 & train2017), Visual Genemo, Objects365-2023, V3Det, and Flickrs30K Entities. If meet any problem like missing images, please contact us from the Github issues.


## License

Attribution-NonCommercial 4.0 International.
It should abide by the policy of the original data sources.

## Citation

To use this data, please cite
```bibtex
@article{zhan2024griffon,
  title={Griffon v2: Advancing multimodal perception with high-resolution scaling and visual-language co-referring},
  author={Zhan, Yufei and Zhu, Yousong and Zhao, Hongyin and Yang, Fan and Tang, Ming and Wang, Jinqiao},
  journal={arXiv preprint arXiv:2403.09333},
  year={2024}
}
```