Transport & Automotive

This dataset is used to detect stall and obstruction behaviors within transportation hub stations to improve traffic management efficiency.

This is a target detection dataset focused on bus accident scenarios, aimed at improving the efficiency of 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 dataset is used for identifying parking or slow-moving behaviors in tunnels.

This dataset provides highway traffic flow monitoring images for object detection tasks.

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 image classification of high-speed rear-end collision risk scenarios, aiming to enhance traffic safety management capabilities.

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 classification images of various congested scenes at highway entrances, aiming to enhance the automatic recognition capabilities of intelligent traffic systems.

The cabin voice assistant control command dataset is designed specifically for optimizing voice recognition and control in vehicular driving.

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

This is a high-quality image dataset for subway guide sign classification.

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

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

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

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 dataset focuses on the detection of severe highway accidents to aid the development of intelligent transportation systems.

This dataset focuses on motorcycle traffic accident risk analysis, providing high-quality image data and detailed annotations.