---
license: apache-2.0
task_categories:
- image-classification
language:
- en
---

# MMEB-V2 (Massive Multimodal Embedding Benchmark)

Building upon on our original [MMEB](https://arxiv.org/abs/2410.05160), MMEB-V2 expands the evaluation scope to include five new tasks: four video-based tasks — Video Retrieval, Moment Retrieval, Video Classification, and Video Question Answering — and one task focused on visual documents, Visual Document Retrieval. This comprehensive suite enables robust evaluation of multimodal embedding models across static, temporal, and structured visual data settings.

|[**Github**](https://github.com/TIGER-AI-Lab/VLM2Vec) | [**🏆Leaderboard**](https://huggingface.co/spaces/TIGER-Lab/MMEB) | [**📖MMEB-V2/VLM2Vec-V2 Paper (TBA)**](https://arxiv.org/abs/2410.05160) | | [**📖MMEB-V1/VLM2Vec-V1 Paper**](https://arxiv.org/abs/2410.05160) |


## 🚀 What's New
- **\[2025.05\]**


## Dataset Overview


![image/png](https://cdn-uploads.huggingface.co/production/uploads/64778fb8168cb428e00f69b0/GSlw8F9gBkbxaCUVHBqlI.png)