Clothing Segmentation and Fabrics Classification Dataset

Advanced datasets and Generative AI are revolutionizing the fashion and e-commerce industries, providing customized experiences and immersive interactions for shoppers worldwide.Our datasets provide valuable insights into fashion trends, styles, and consumer preferences, enabling businesses to deliver personalized shopping experiences.

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.