Transport & Automotive

This dataset focuses on the image classification of nighttime accident scenes, aiding in traffic safety monitoring and analysis.

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

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

This dataset provides detection data of vehicles occupying green spaces and public areas under various urban environments, aiding in traffic management and environmental protection.

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

This dataset provides a wealth of traffic signal light status images to aid in research for traffic management and autonomous driving technology.

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

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.

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

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

This dataset focuses on vehicle passage and identification in underground parking lots, aiding intelligent traffic 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 image data of traffic congestion and traffic patterns in suburban areas, aiming to enhance the intelligence level of traffic management.

This dataset is used for vehicle type recognition and counting in highway environments.

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

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

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 automatic recognition of illegal parking, providing rich annotated data.

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