Ecommerce Fashion Dataset | Visual Search | Dataset for Smart recommendation

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

TagX specializes in providing high-quality datasets for computer vision and image recognition applications, specifically tailored for eCommerce Apparel. We offer an extensive Ecommerce Apparel Dataset that is designed to support visual search and smart recommendation systems. This rich annotation allows for precise and granular analysis of apparel items, enabling advanced visual search capabilities. This leads to improved customer engagement, increased conversion rates, and enhanced customer satisfaction within the Ecommerce Apparel domain.

Volume: More than 30K+ images

Available Formats: .jpg, .png, .json, .xml, .csv

Coverage: More than 249 countries

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.

Use Cases
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Visual Search Data
  • Ecommerce Computer Vision
  • Smart recommendations
  • Image recognition
Categories
  • AI & ML Training Data
  • Annotated Imagery Data
  • Machine Learning (ML) Data
  • Computer Vision Data
  • Fashion Data

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