ποΈ GLaMM-FullScope
π 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.
π» Download
To get started with GLaMM-FullScope, follow these steps:
git lfs install
git clone https://huggingface.co/MBZUAI/GLaMM-FullScope_v0
π 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.
π Citations and Acknowledgments
```bibtex @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} }
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