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

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

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

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

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 focuses on complex traffic scenes of suburban roads, aiming to enhance the accuracy and reliability of target detection technology.

This dataset focuses on the detection of license plate obstructions and camouflage, aiding the development of intelligent transportation 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 the classification of traffic scenes involving bridges and roads, promoting the development of intelligent transportation technology.

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

This is an image dataset for detecting road speed bump damage.

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

This dataset focuses on identifying stall and occupancy behaviors at transportation hubs to support urban management.

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

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

This dataset focuses on traffic congestion under adverse weather conditions, providing data support for traffic management.

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

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

This dataset provides high-quality image data for tunnel and special scenarios traffic safety monitoring, aiming to support the training and application of object detection algorithms.

This dataset is specially designed for traffic monitoring and intelligent driving applications, covering a rich variety of urban road scene images.