Transport & Automotive

This dataset focuses on license plate recognition and vehicle attribute analysis in underground parking lots, supporting object detection tasks.

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

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

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

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

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

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

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

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

This dataset focuses on OCR recognition of subway station signage, aiming to improve the recognition efficiency 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 violation and overload detection for electric and motorbikes, providing high-quality object detection data.

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 image classification of nighttime accident scenes, aiding in traffic safety monitoring and analysis.

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

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

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