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  license: apache-2.0
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  license: apache-2.0
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+ # πŸ‘οΈ GLaMM-GranD-Pretrained
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+
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+ ---
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+ ## πŸ“ Description
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+ GLaMM-GranD-Pretrained is the model pretrained on GranD dataset,
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+ a large-scale dataset generated with automated annotation pipeline for detailed region-level understanding and segmentation masks.
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+ GranD comprises 7.5M unique concepts anchored in a total of 810M regions, each with a segmentation mask.
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+
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+
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+ ## πŸ’» Download
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+ To get started with GLaMM-GranD-Pretrained, follow these steps:
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+ ```
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+ git lfs install
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+ git clone https://huggingface.co/MBZUAI/GLaMM-GranD-Pretrained
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+ ```
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+
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+ ## πŸ“š Additional Resources
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+ - **Paper:** [ArXiv](https://arxiv.org/abs/2311.03356).
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+ - **GitHub Repository:** For updates: [GitHub - GLaMM](https://github.com/mbzuai-oryx/groundingLMM).
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+ - **Project Page:** For a detailed overview and insights into the project, visit our [Project Page - GLaMM](https://mbzuai-oryx.github.io/groundingLMM/).
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+
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+ ## πŸ“œ Citations and Acknowledgments
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+
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+ ```bibtex
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+ @article{hanoona2023GLaMM,
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+ title={GLaMM: Pixel Grounding Large Multimodal Model},
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+ author={Rasheed, Hanoona and Maaz, Muhammad and Shaji, Sahal and Shaker, Abdelrahman and Khan, Salman and Cholakkal, Hisham and Anwer, Rao M. and Xing, Eric and Yang, Ming-Hsuan and Khan, Fahad S.},
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+ journal={ArXiv 2311.03356},
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+ year={2023}
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+ }