MEP-3M 大规模多模态电商数据集

We construct a large-scale Multi-modal E-commerce Products classification dataset MEP-3M, which consists of over 3 million products and 599 fine-grained product categories. Each product is represented with an image-text pair and annotated with hierarchical labels.

Delong Chen (本科生), Fan Liu*, Xiaoyu Du, Ruizhuo Gao, Feng Xu. MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset. IJCAI 2021 Workshop on Long-Tailed Distribution Learning (CCF-A类会议Workshop, Oral). [数据集主页][Best Dataset Paper Award]


AIM Group
Artificial Intelligence of Multi-modality Group