Transport & Automotive

This dataset focuses on illegal parking detection on urban roads, providing abundant labeled images and detailed information.

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

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

This dataset focuses on target detection for road towing and accidents, supporting intelligent management in the transportation industry.

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

This dataset focuses on semantic segmentation of vehicle collision damage in tunnel environments, aiming to improve the efficiency and accuracy of traffic accident analysis.

This dataset focuses on vehicle passage and identification in underground parking lots, aiding intelligent traffic management.

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 provides high-quality urban low-altitude drone aerial images of vehicles, suitable for traffic monitoring and intelligent transportation management.

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

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 images of road motorcycle traffic accident scenes for object detection and accident analysis.

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

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

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

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

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

This dataset focuses on the automatic recognition of illegal parking, providing rich annotated data.