Transport & Automotive

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

This is a high-quality image dataset for subway guide sign classification.

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

This dataset is used for the automatic recognition and monitoring of highway traffic congestion.

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

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 provides highway traffic flow monitoring images for object detection tasks.

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

This dataset provides high-quality accident and vehicle defect detection data for the field of traffic safety.

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

This dataset provides high-quality semantic segmentation images of accident vehicles and road debris, aiding the development of intelligent transportation and autonomous driving technologies.

This dataset provides high-quality images of urban road construction debris and traffic environments, supporting the research and development of intelligent transportation systems.

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

This dataset provides images of road motorcycle traffic accident scenes for object detection and accident analysis.

This dataset provides a diverse array of nighttime traffic scene images, aimed at enhancing the performance of object detection algorithms.

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

This dataset is for identifying road blockages and illegal parking, supporting the development of smart traffic systems.

This dataset focuses on vehicle passage and identification in underground parking lots, aiding intelligent traffic management.

This dataset provides image data of construction site safety warning signs, supporting object detection research.

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