This dataset is specifically designed for autonomous driving and intelligent transportation systems, containing high-precision annotated lane line image data.

This dataset focuses on the automatic detection of platform structure cracks, assisting in safety monitoring and evaluation in the transportation field.

This dataset monitors prolonged congestion or gathering of people in the underground garage due to queuing, payment, charging, and other reasons.

This dataset focuses on illegal parking detection on urban roads, providing abundant labeled images and detailed information.

This dataset provides image data of traffic congestion and traffic patterns in suburban areas, aiming to enhance the intelligence level of traffic management.

This dataset focuses on traffic congestion recognition to aid smart traffic management.

This dataset provides a wealth of traffic signal light status images to aid in research for traffic management and autonomous driving technology.

This dataset provides high-quality urban low-altitude drone aerial images of vehicles, suitable for traffic monitoring and intelligent transportation management.

This dataset contains video data of motor vehicle and non-motor vehicle collision events aimed at enhancing traffic safety monitoring and accident prevention capabilities.

This dataset focuses on the monitoring of platform safety hazards and aims to improve the efficiency of public transportation safety management.

This dataset aims to enhance the detection efficiency of rollover accidents on highway sections through video surveillance technology.

This dataset provides high-quality images of urban road traffic police enforcement scenes, aimed at improving the performance of object detection algorithms.

This dataset is used for the lane segmentation task in autonomous driving systems to improve driving safety and accuracy.

This dataset provides high-quality images for mountain road traffic flow monitoring, supporting object detection tasks.

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

This dataset is used to identify anomalies in the inclination structure of trucks to reduce accident risks.

This dataset is used to monitor the congestion of subway carriages, assisting public transportation management and research.

This dataset focuses on the identification and analysis of rear-end collisions in tunnels to enhance traffic safety levels.

This dataset is used to detect stall and obstruction behaviors within transportation hub stations to improve traffic management efficiency.

This dataset focuses on the detection and analysis of bicycle collisions with guardrails, supporting traffic safety research.