👁️ GLaMM-GranD-Pretrained

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📝 Description

GLaMM-GranD-Pretrained is the model pretrained on GranD dataset, a large-scale dataset generated with automated annotation pipeline for detailed region-level understanding and segmentation masks. GranD comprises 7.5M unique concepts anchored in a total of 810M regions, each with a segmentation mask.

💻 Download

To get started with GLaMM-GranD-Pretrained, follow these steps:

git lfs install
git clone https://huggingface.co/MBZUAI/GLaMM-GranD-Pretrained

📚 Additional Resources

• Paper: ArXiv.
• GitHub Repository: For updates: GitHub - GLaMM.
• Project Page: For a detailed overview and insights into the project, visit our Project Page - GLaMM.

📜 Citations and Acknowledgments

  @article{hanoona2023GLaMM,
          title={GLaMM: Pixel Grounding Large Multimodal Model},
          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.},
          journal={ArXiv 2311.03356},
          year={2023}
  }