Transport & Automotive

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

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

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

This dataset provides high-quality image support for urban night traffic enforcement and order control, aiming to improve the accuracy of traffic monitoring and object detection.

This dataset is used for identifying parking or slow-moving behaviors in tunnels.

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

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

The Traffic Signal Recognition Image Dataset is designed to enhance the signal recognition capabilities of autonomous driving systems.

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

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

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

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

This dataset focuses on multi-target (vehicles, traffic police, environment) recognition at night, providing data support for traffic safety.

This dataset provides high-quality target detection data for subway entrance safety monitoring, aiding in traffic safety management.

The Toll Station Entrance Recognition Image Dataset is used to improve the detection and recognition efficiency of toll stations in traffic driving.

The Rail Transit Accident Scene Dataset aids in accident detection and analysis for intelligent transportation systems.

This dataset focuses on multi-target detection at traffic accident scenes and provides rich image data to support the research of intelligent transportation systems.

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

This dataset is used for the identification and analysis of traffic risks in mixed traffic scenes on suburban roads.

This dataset focuses on violation and overload detection for electric and motorbikes, providing high-quality object detection data.