awesome-video-llms
github.com/zyayoung/awesome-video-llms ↗Explore VLM-Eval, a framework for evaluating Video Large Language Models, enhancing your video analysis with cutting-edge AI technology.
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Awesome Video Large Language Models 🎥🦙Datasets 💾🌐ResultsJoin the Awesome Video Large Language Models Community 🎓🤝
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me join the awesome video large language models community 🎓🤝 resources from awesome-video-llms"
Installation instructions →What's inside
Join the Awesome Video Large Language Models Community 🎓🤝
Datasets 💾🌐
- DiDemo link
Video captioning, temporal localization
- HMDB51 link
Action recognition
- Kinetics-400 link
Action recognition
- MSRVTT link
Video QA, video captioning
- MSVD link
Video QA, video captioning
- NExT-QA link
Video QA
Results
- LLaMA-VID
50.1
- Video-LLaMA
32.2
- Video-LLaVA (Lin et al.)
48.0
Showing a sample of 27 resources. View the full list on GitHub →