FashionAI—服饰属性标签识别数据集

为了推动AI技术与时尚行业的结合， 阿里巴巴“图像和美”团队联合香港理工大学纺织与制衣系联合推出业界首个同时符合服饰专业性和机器学习要求的大规模高质量时尚数据集FashionAI数据集。

服饰属性标签识别数据集来自天池“FashionAI全球挑战赛——服饰属性标签识别”竞赛：https://tianchi.aliyun.com/competition/entrance/231649/information。研究人员可基于此数据集开展服饰图像检索、标签导航、服饰搭配等应用技术。

To promote the integration of AI technology and the fashion industry, Alibaba's "Image and Beauty" team and the Department of Textiles and Clothing of The Hong Kong Polytechnic University jointly launched the industry's first large-scale, high-quality fashion dataset, the FashionAI Dataset, which meets both professional apparel standards and machine learning requirements.

The apparel attribute recognition dataset is derived from the Tianchi "FashionAI Global Challenge - Apparel Attribute Recognition" competition: https://tianchi.aliyun.com/competition/entrance/231649/information. Researchers can utilize this dataset to develop application technologies including fashion image retrieval, tag navigation, and outfit matching.

搜集汇总

背景与挑战

背景概述

FashionAI—服饰属性标签识别数据集由阿里巴巴与香港理工大学合作构建，是首个兼顾服饰专业性与机器学习需求的大规模高质量时尚数据集。该数据集专注于服饰属性标签识别，支持图像检索、标签导航和服饰搭配等应用。