Fashion & E-commerce

Typical Scenarios

Annotated Sub-datasets

Clothing Dataset

This dataset provides comprehensive clothing data, including options for colors, materials, patterns, and custom prints, allowing algorithms to generate visualizations of apparel items and offer personalized suggestions for a targeted user experience.

Human Body Dataset

This dataset includes detailed customer body measurements and clothing item measurements, enabling augmented reality (AR) representations of clothing on the customer's body. It also contains feedback on fit, which helps improve the accuracy of size recommendations and enhances virtual fitting room experiences.

Facial Region Segmentation Dataset

This dataset consists of labeled images identifying distinct facial regions like eyes, lips, and cheeks. It supports facial makeup algorithms in accurately recognizing and applying makeup for virtual makeovers, ensuring products are correctly placed and blended.

E-commerce Datasets

These datasets provide detailed product information, images, and customer preferences, assisting algorithms in product categorization, attribute extraction, and personalized recommendations. They also include user-generated content like reviews and ratings for sentiment analysis and trend prediction, improving product discovery and customer satisfaction.