Update Readme

README.md

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+---
+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}
+}
+```