A dataset focused on occluded images of functional beverages for improved recognition tasks.

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

The eyeliner product image classification dataset is specifically designed for the e-commerce industry to enhance product recognition efficiency.

This dataset provides high-quality composite images of scarf matching to enhance user experience in retail e-commerce.

This dataset provides a comprehensive collection of images focused on occlusions affecting athletic pants in retail settings.

This dataset focuses on the target detection of shoe cabinet push-to-open, aiming to enhance the user experience of e-commerce platforms.

Train more reliable order-processing agents with tool-use trajectories for computer and tablet order lookup, tracking, and permitted changes.

This dataset focuses on target detection for curtain track guide slots to aid in quality control of smart home products.

This dataset focuses on the image classification of lip mask products to help improve product identification efficiency.

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

A dataset for classifying different types of shoe dryers based on their shapes.

A comprehensive dataset for analyzing occluded images of down jackets in retail settings.

A comprehensive dataset of work pants images that includes various occlusion scenarios for enhanced object detection.

A collection of images featuring dresses with various occlusions for improved product recognition.

Connect shopper needs with small appliance product pages and matching evidence to support retrieval training and evaluation for retail.

A dataset focused on skate shoe images affected by various occlusions to enhance object detection accuracy.

The Breakfast Cereal Product Occlusion Image Dataset provides valuable resources for training models to recognize partially occluded products in retail settings.

A dataset focused on coffee beverage images affected by occlusions to improve product recognition in retail e-commerce.

A dataset designed for distinguishing between juice cups and water cups.

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