MMEB-V2
B待确认Benchmark多模态检索/Embedding开放apache-2.0
发布方：TIGER-Lab
热度28.2▲ 0.1
下载量 · 30天
3,332
Hugging Face
GitHub Stars
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代码仓库
论文被引
99
Semantic Scholar
跑分模型 · 30天
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Leaderboard results
简介
MMEB-V2 (Massive Multimodal Embedding Benchmark) Website |Github | 🏆Leaderboard | 📖MMEB-V2/VLM2Vec-V2 Paper | | 📖MMEB-V1/VLM2Vec-V1 Paper | Introduction Building upon on our original MMEB, 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… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MMEB-V2.