Improve hotel search understanding and matching with evidence linking queries, lodging catalogs, and entity relationships.

Autumn and winter coats virtual try-on dataset to enhance online shopping experience, providing realistic try-on effects.

Train and evaluate roasted coffee product retrieval with retail catalog attributes paired with natural-language queries.

This dataset features images for classifying different types of electric heaters.

A dataset designed to enhance skincare product recognition through images depicting occluded products.

This dataset contains images of occluded toothpaste and toothbrush products for improved recognition and classification in retail e-commerce.

This dataset is used for training robots to recognize the squeezable pump head structure of hand sanitizer bottles.

A comprehensive dataset for training AI in recognizing occluded pet food products.

This dataset focuses on images of tight clothing occlusions to enhance object detection in retail e-commerce.

This dataset provides slipper family try-on images to enhance the user shopping experience on e-commerce platforms.

Train models to handle major appliance shopping requests more accurately with complete search and comparison tool-call trajectories.

A dataset providing images of household paper products with a focus on occlusion scenarios for improved object detection.

A dataset focused on images of apparel occluded by jackets to enhance recognition accuracy.

Train models to understand luxury hotel packages and resort experiences and extract their key attributes.

Primer image classification dataset, aiding product recognition and recommendation on e-commerce platforms.

This dataset is used to identify and classify product images of sunscreen clothing.

This dataset contains images of occluded canned food products for improving recognition in retail settings.

This is an image classification dataset focused on homewear product images.

A dataset designed to enhance object recognition in thick-soled shoes under occlusion and distortion.

A comprehensive dataset for enhancing image recognition of T-shirts under varying occlusion and lighting conditions.