👁️ GLaMM-FullScope

📝 Description

GLaMM-FullScope encompasses all capabilities of GLaMM, which is mixed finetuned with many open-source datasets. "Full" signifies its comprehensive nature, incorporating the full range of GLaMM capabilities including Grounded Conversation Generation (GCG), Referring Expression Segmentation, Region-level Captioning, Image-level captioning and Visual Question Answering.

💻 Download

To get started with GLaMM-FullScope, follow these steps:

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

📚 Additional Resources

• Paper: ArXiv.
• GitHub Repository: For training and 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}
  }