This dataset provides high-quality accident and vehicle defect detection data for the field of traffic safety.

Connect webpage text, evidence paragraphs, and structured verification labels to help models assess the temporal and scenario boundaries of transportation forecasts.

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

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

This is a high-quality image dataset focused on detecting traffic accidents in rainy conditions.

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 traffic congestion under adverse weather conditions, providing data support for traffic management.

This dataset focuses on traffic safety monitoring on mountain roads, providing rich object detection data.

This dataset focuses on multi-target detection at traffic accident scenes and provides rich image data to support the research of intelligent transportation systems.

Train models to assess transportation statistics using claims, contextual metadata, and evidence from planning reports.

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

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

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 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 and analysis of road traffic accident scenes, aiding the development of intelligent transportation systems.

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

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

This dataset provides high-quality images for vehicle collision accidents, supporting research on target detection and damage assessment.

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

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