Retail & E-commerce

This dataset focuses on image classification of facial mask types, aiding in the intelligent development of retail e-commerce.

The puff image classification dataset is a high-quality dataset containing rich beauty images to enhance the accuracy of e-commerce product recommendations.

The Midi Skirt Style Try-On Dataset provides a realistic virtual try-on experience, helping the retail e-commerce industry enhance users' shopping experience.

This dataset is specifically designed for robotic arm umbrella opening tests, providing high-quality object detection data.

The stovetop knob interaction area detection dataset aims to design execution paths for rotary operations, enhancing product user experience.

This dataset provides a collection of images focused on occlusions affecting smartwatch usability.

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

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

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

This dataset provides a rich set of images of beauty aid tools, aiming to improve the application effectiveness of image classification technology in retail e-commerce.

A dataset designed for recognizing the usage areas of massage devices, including neck, back, legs, and feet.

This dataset provides a variety of eyebrow makeup product images, supporting efficient image classification tasks.

This dataset is designed to help models determine the opening positions of cabinets to enhance user shopping experiences.

A comprehensive dataset for classifying different types of beauty devices based on their appearance.

This dataset focuses on classifying various styles of air conditioner panels.

A dataset focused on images of hoodies with various occlusions for improving fashion recognition systems.

This dataset provides images of down jackets with various occlusions to improve fashion detection systems.

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

This dataset focuses on the image classification of serums and ampoules, aiding in e-commerce product recognition and recommendation.

This dataset provides images of occluded baby products, essential for improving object recognition in retail e-commerce.