FashionMV: Product-Level Composed Image Retrieval with Multi-View Fashion Data
[Paper] | [Code (GitHub)] | [Model Weights]
Overview
FashionMV is the first large-scale multi-view fashion dataset for product-level Composed Image Retrieval (CIR). It contains 127K products, 472K multi-view images, and over 220K CIR triplets, built through a fully automated pipeline leveraging large multimodal models.