Transport & Automotive

This dataset focuses on identifying traffic violations by motorcycles and electric vehicles, aiding the development of intelligent transportation systems.

This dataset is dedicated to identifying abnormal states of traffic lights, providing reliable data support for traffic monitoring.

This dataset focuses on the detection of license plate obstructions and camouflage, aiding the development of intelligent transportation systems.

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

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

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

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

This is a dataset focused on in-car driving perspective target detection under rainy conditions.

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

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

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

This dataset focuses on the recognition of vehicle and motorcycle collisions, aiding intelligent transportation and safety monitoring applications.

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

This is an image classification dataset focusing on traffic accident scenes, aiming to enhance traffic management and safety.

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 is used to detect whether passengers or drivers check the blind spot before opening the door, enhancing traffic safety.

This dataset focuses on traffic safety monitoring on mountain roads, providing rich object detection data.

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 aims to provide high-quality nighttime traffic congestion recognition data to support the research and application of intelligent transportation systems.