Full Body Clothing 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 "Full Body Clothing Classification Dataset" is specifically curated to support the advancement of AI in recognizing and classifying full-body clothing from a wide range of internet-collected images. With a focus on high-resolution images, specifically 768 x 1024 pixels, this dataset aims to enhance the precision in classifying full-body attire into major categories such as tops, pants, and skirts, further delineating into 30 sub-categories including jackets, sportswear, baseball uniforms, sweaters, sweatpants, jeans, and half skirts, among others. This dataset is designed to facilitate the development of sophisticated AI models that can accurately classify complex clothing types in full-body images, thereby improving the efficiency and user experience of online fashion retail.