Clothing Segmentation and Fabrics Classification Dataset

The Clothing Segmentation and Fabrics Classification Dataset merges the complexity of clothing segmentation with the specificity of fabric classification, offering a dual-purpose dataset for the fashion industry. It includes internet-collected images from a variety of sources such as e-commerce websites, fashion shows, social media, and offline user-generated content. The dataset is structured to support the development of AI models that can perform both detailed segmentation of clothing items and classify them into 11 common fabric categories, encompassing 80 distinct clothing types. This dual approach aims to enhance online shopping experiences by providing detailed insights into the type of clothing and fabric, facilitating better inventory management and personalized shopping recommendations.

该服装分割与织物分类数据集将服装分割的复杂性及织物分类的专属性相结合，为时尚产业提供了一个双用途的数据集。该数据集汇集了来自电子商务网站、时装秀、社交媒体以及线下用户生成内容的多种来源的互联网收集图像。数据集的结构旨在支持开发能够执行服装物品详细分割并将其分类至11种常见织物类别（涵盖80种独特的服装类型）的AI模型。此双重方法旨在通过提供关于服装和织物类型的详细信息，从而提升在线购物体验，促进库存管理和个性化购物推荐。