Dataset Hub

This dataset is used for identifying parking or slow-moving behaviors in tunnels.

This dataset provides image data of urban road construction waste occupation scenes, aiming to enhance traffic management efficiency.

This dataset provides labeled images for detecting screw conditions on mobile motherboards.

This dataset provides high-quality image data for orchard yield forecasting, supporting the development of agricultural intelligence.

A dataset designed for the recognition of tail light misinstallation and maintenance scene lighting positioning.

The Infrared Monitoring Dataset of Wildlife in Dense Forests provides high-quality animal monitoring image data for scientific research.

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

This dataset is used for identifying weed coverage in farmland, aiding the development of smart agriculture.

This dataset focuses on semantic segmentation of vehicle collision damage in tunnel environments, aiming to improve the efficiency and accuracy of traffic accident analysis.

This dataset provides image classification data of manual wheelchairs to support intelligent applications in the field of medical assistance.

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

This dataset focuses on the detection of socket power buttons, aiming to improve the remote control capabilities of smart homes.

This dataset provides high-quality image data for electric wheelchair status classification, aiding the development of intelligent monitoring technology.

This dataset provides high-quality images of leaf health statuses to aid in the automatic identification of agricultural pests and diseases.

A dataset for identifying whether the intake manifold is correctly connected.

School uniform virtual try-on collection to enhance the user's online shopping experience.

This dataset combines drought farmland imagery with environmental data for AI-based predictions of irrigation timing and water demand.

This dataset is used for AI classification of different types of crop pest and disease images.

Garden flower water lily identification image dataset, designed for plant classification and identification tasks.

The durian plantation epiphyte lichen image dataset focuses on enhancing the ability to identify lichens in durian plantation management.