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

The Underground Parking Lot Empty Slot Detection Dataset aids efficient parking management.

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

This dataset focuses on the classification of traffic scenes involving bridges and roads, promoting the development of intelligent transportation technology.

This dataset provides classification images of various congested scenes at highway entrances, aiming to enhance the automatic recognition capabilities of intelligent traffic systems.

This dataset focuses on the automatic recognition of tunnel traffic control signs, promoting the process of traffic intelligence.

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

This is a target detection dataset focused on bus accident scenarios, aimed at improving the efficiency of traffic safety research.

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

This dataset focuses on the recognition and analysis of road traffic accident scenes, aiding the development of intelligent transportation systems.

This dataset provides a large collection of video data on illegal parking causing traffic blockages, aiming to enhance the intelligence of traffic management systems.

This dataset provides high-quality images of urban traffic construction scenes to support object detection research.

This dataset focuses on motorcycle traffic accident risk analysis, providing high-quality image data and detailed annotations.

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

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

The subway platform crowding estimation video dataset is used to enhance traffic flow management and safety.

This dataset focuses on the object detection of warning signs in tunnels, aiding the development of traffic safety technology.

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

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

This dataset focuses on the recognition and analysis of high-speed rear-end collisions, aiming to enhance traffic safety management.