Highway Section Vehicle Rollover Accident Detection Dataset

The current transportation industry is facing increasingly serious safety issues, with the frequent occurrence of vehicle rollover accidents posing severe challenges to road safety. Existing accident detection systems often rely on traditional surveillance, which is slow to respond and lacking in accuracy, making it unable to effectively identify and handle rollover accidents in a timely manner. To address this technical challenge, this dataset is dedicated to providing a wealth of video data to support efficient accident detection and analysis. Data is collected using high-resolution cameras on highway sections, covering multiple time periods and weather conditions to ensure data diversity. In terms of quality control, multiple rounds of annotation and expert review are employed to ensure consistency and accuracy of data labeling. Data is stored in MP4 format and organized by time and location for easy subsequent analysis and processing.