by mbzuai-oryx · Agent Tool · ★ 945
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[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
| Stars | 945 |
| Forks | 53 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 40.25/100 |
| Open Issues | 35 |
| Last Updated | 2025-08-05 |
| Created | 2023-11-02 |
| Platforms | python |
| Est. Tokens | ~7476k |
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groundingLMM is [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.. It is categorized as a Agent Tool with 945 GitHub stars.
groundingLMM is primarily written in Python. It covers topics such as foundation-models, llm-agent, lmm.
You can find installation instructions and usage details in the groundingLMM GitHub repository at github.com/mbzuai-oryx/groundingLMM. The project has 945 stars and 53 forks, indicating an active community.
groundingLMM is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to groundingLMM on Agent Skills Hub include gptme, langroid, codeinterpreter-api. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.