Supports underground drainage inspection and defect recognition with annotated pipe images and accompanying metadata.

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

Train models to verify construction conclusions more reliably by linking submittal content to project requirements and supporting evidence.

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

Train models to assess rooftop solar feasibility and explain their conclusions by checking site conditions and project rules one constraint at a time.

Image and annotation records from open-pit mining environments support object detection training and intelligent mine-site monitoring.

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

Train models to check underground mine procedures step by step for sequencing errors, unsuitable support measures, and omitted controls.

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

Explore planning steps and risk-control evidence for demolition preparation, and evaluate the accuracy and traceability of RAG retrieval.

Check safety constraints step by step to pinpoint omitted controls, incorrect ordering, and conflicts in mine-work responses.

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

Extract hazards, exposed entities, and control measures from work-at-height observations to streamline the structuring of safety records.

Cross-check payment application claims against contract terms and site records to help models identify insufficient evidence, missing measurement grounds, and conflicting records.

Train models to calculate mining drillhole bottom coordinates and trajectory parameters with clear, unit-aware worked examples.

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

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

Combine diverse rescue records with failure analyses to help models produce evidence-based, professional incident reviews.

Connect queries with supporting evidence on key demolition safety topics, including work sequence, structural risks, and stability measures.

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