Update dataset card: Add task category, paper, code, and project links

#1
by nielsr HF Staff - opened
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  1. README.md +8 -9
README.md CHANGED
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  ---
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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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  ---
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@@ -13,6 +13,11 @@ 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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-
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- ## License
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-
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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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-
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  ## Citation
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  To use this data, please cite
 
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  ---
 
 
 
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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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  ---
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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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+
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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