Dataset Hub

A dataset providing obstructed images of casual shoes to enhance recognition accuracy in e-commerce applications.

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

This dataset contains images of shoulder bags with various occlusions for enhanced object detection and classification tasks.

A dataset focused on outdoor jackets, capturing the challenges of occlusions and reflections in retail e-commerce.

This dataset facilitates the classification of different types of fans for enhanced e-commerce applications.

This dataset is designed for the detection and recognition of microwave button panels, aiding in automation control and user interaction analysis.

A dataset containing images of casual jackets with various occlusion scenarios.

This dataset is used to support the object detection of suction hook installation slots, aiding automated assembly.

This dataset provides high-quality loose powder product images for classification and recognition tasks.

A dataset focused on occluded images of edible oil products, designed for improving product recognition technologies.

A dataset for classifying various types of rice cookers using images.

A comprehensive dataset of images showcasing running shoes with various occlusions for improved detection and analysis.

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

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

This dataset facilitates the discrimination of countertop microwaves, built-in microwaves, and combination ovens.

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

The Iron Temperature Control Slider Detection Dataset focuses on the automated detection of temperature adjustment actions for e-commerce products.

The Face Cream Image Classification Dataset is specifically designed for the retail e-commerce industry to enhance product recognition and recommendation capabilities.

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

This dataset provides high-quality synthesized images for sweatshirt outfits, supporting fashion recommendations and personalized services.