Dataset Hub

This dataset focuses on detecting personnel working at heights in scaffold areas.

The Bridge Surface Damage Image Segmentation Dataset is used to detect and segment various damages on bridge surfaces.

This dataset is used for predicting vehicle queue lengths at construction site entrances.

The Post-Disaster Ruins Drone Aerial Damage Assessment Dataset provides high-precision aerial imagery for building damage assessment.

The excavation site robotic arm action control dataset enhances the efficiency of intelligent control in the construction and real estate industry.

The open-pit mine boundary detection image dataset is used to improve the accuracy and efficiency of mine boundary identification.

This dataset is used to detect the encroachment of roads by material stacking at construction sites.

The compliance detection image dataset for safety facility deployment in road construction areas focuses on enhancing construction safety.

This dataset provides high-quality image data for road damage detection in the construction industry.

The Transmission Line Vegetation Hazard Prediction Image Dataset is used to enhance the efficiency of vegetation management around transmission lines in the energy sector.

This dataset is used to identify the material stacking situation at construction sites to improve site management and safety.

The tunnel construction site safety helmet wearing detection image dataset is used to detect the wearing conditions of safety helmets by personnel at the construction site.

This dataset is used to predict the icing thickness of transmission lines, enhancing the monitoring and maintenance efficiency of the energy sector.

The Construction Machinery Noise Pollution Audio Dataset aims to support environmental noise monitoring and control.

The Road Construction Progress Monitoring Video Dataset helps the construction industry improve efficiency and quality.

A high-quality image dataset for face geological recognition in tunnel construction environments.

This dataset is used for detecting the wearing status of safety equipment for personnel within construction areas.