30k+ Ecommerce Fashion Dataset | Visual Search | Dataset for Smart recommendation

Our dataset for Ecommerce Apparel encompasses a wide variation, including both male and female clothing items with diverse styling and patterns. Each item is meticulously annotated with detailed tags, providing comprehensive information on attributes such as color, texture, sleeve length, collar type, and more. This rich dataset enables the development of computer vision models that can accurately recognize, classify, and recommend apparel items based on gender-specific attributes, styling preferences, and specific fashion patterns. It empowers businesses to create advanced visual search engines and smart recommendation systems, enhancing the overall shopping experience and customer satisfaction in the apparel domain.