BenchMark·Hub

M-BEIR

B待确认Benchmark
多模态检索/Embedding开放mit

发布方:TIGER-Lab

热度30.0▼ 0.1
下载量 · 30天
3,158
Hugging Face
GitHub Stars
代码仓库
论文被引
197
Semantic Scholar
跑分模型 · 30天
Leaderboard results

简介

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers (ECCV 2024) 🌐 Homepage | 🤗 Model(UniIR Checkpoints) | 🤗 Paper | 📖 arXiv | GitHub How to download the M-BEIR Dataset 🔔News 🔥[2023-12-21]: Our M-BEIR Benchmark is now available for use. Dataset Summary M-BEIR, the Multimodal BEnchmark for Instructed Retrieval, is a comprehensive large-scale retrieval benchmark designed to train and evaluate unified multimodal retrieval… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/M-BEIR.