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license: apache-2.0
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---
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license: apache-2.0
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# ποΈ GLaMM-GranD-Pretrained
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---
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## π 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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## π» 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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## π 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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## π Citations and Acknowledgments
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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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}
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