Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding
Evaluate and improve video understanding models with a comprehensive benchmarking framework for video analysis.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeVideo-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding
Video-MME-v2 has 367 stars on GitHub. It has been forked 4 times. Video-MME-v2 is written mainly in Python. It has been in active development since 2026. Its main topics are large-language-models, large-vision-language-models, multimodal-large-language-models, video.
Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding
Video-MME-v2 is an open-source project.
Yes. Video-MME-v2 is free and open source — you can use, modify and self-host it.
Video-MME-v2 is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mme-benchmarks-video-mme-v2.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.