Update dataset card: Add task category, paper, code, and project links
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by
nielsr HF Staff - opened
README.md
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license: cc-by-nc-4.0
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task_categories:
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- object-detection
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language:
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- en
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pretty_name: Griffon V2 12M Dataset Card
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** [2025/08/10] ** We are happy to announce that [Griffon v2](https://arxiv.org/abs/2403.09333) is accepted to ICCV 2025.
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## Dataset details
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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.
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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.
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## License
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Attribution-NonCommercial 4.0 International.
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It should abide by the policy of the original data sources.
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## Citation
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To use this data, please cite
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language:
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- en
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license: cc-by-nc-4.0
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task_categories:
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- image-text-to-text
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pretty_name: Griffon V2 12M Dataset Card
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** [2025/08/10] ** We are happy to announce that [Griffon v2](https://arxiv.org/abs/2403.09333) is accepted to ICCV 2025.
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## Relevant Links
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- Paper: [Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring](https://huggingface.co/papers/2403.09333)
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- Code: [https://github.com/jefferyZhan/Griffon](https://github.com/jefferyZhan/Griffon)
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- Project page: [https://github.com/jefferyZhan/Griffon](https://github.com/jefferyZhan/Griffon)
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## Dataset details
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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.
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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.
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## Citation
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To use this data, please cite
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