Dataset Hub

The Motion Trajectory Video Tracking Dataset is designed for precise video analysis and motion detection tasks.

The sweater fitting display dataset provides high-quality image synthesis solutions for retail e-commerce, enhancing the virtual fitting experience for users.

This dataset is used for detecting looseness in oven door hinges, aiming to reduce the risk of detachment.

Provides a time series dataset of customer hourly electricity consumption from 2012 to 2014.

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

The Graphical User Interface (GUI) dataset focuses on interaction videos with smart devices.

This dataset is used to identify farmers' postures and work statuses, supporting the development of smart agriculture.

A dataset designed for the automatic detection of clutch disc wear and grab force validation.

A dataset focused on the identification and detection of defects in locking components for industrial quality inspections.

A comprehensive dataset of cowboy jacket images featuring various occlusions for improved fashion recognition.

The Garden Leaf Spot Disease Identification Image Dataset helps in identifying various leaf spot diseases through images.

This dataset focuses on the detection of damage and cracks in mercury thermometers, aiming to enhance the safety monitoring capabilities of medical equipment.

This dataset is used for vehicle type recognition and counting in highway environments.

This dataset focuses on detecting imbalance in washing machine drums to enhance performance and durability.

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

The Papaya Tree Recognition Dataset is used to support the automatic identification and classification of AI models, promoting intelligent agricultural management.

The Japanese Quince recognition image dataset aids plant identification and classification in agriculture, forestry, and fisheries.

The Tea Garden Landscape Recognition Dataset aims to enhance tea garden management efficiency through image classification technology.

A dataset for industrial parts labeling and QR code recognition aimed at improving traceability and verification in production.

The Drug Injection Dataset is a high-quality dataset created for medical image analysis and object detection tasks.