Island Aerial View Vehicle Traffic Video Dataset

The rapid development of the traffic industry has made urban congestion and frequent traffic accidents urgent issues to be addressed. However, existing traffic monitoring systems mainly rely on fixed-point cameras, making it difficult to obtain a global perspective and accurate data support. This limitation is particularly evident in roundabouts and complex intersections. The Island Aerial View Vehicle Traffic Video Dataset aims to provide high-quality video data to support the optimization of traffic monitoring and the improvement of autonomous driving technologies. This dataset uses drones equipped with high-definition cameras to capture aerial views of roundabouts and surrounding road segments from multiple angles, covering different weather conditions and times of day during data collection. The data undergoes rigorous multiple rounds of annotation and consistency checks to ensure accuracy and reliability, annotated by a professional team with a background in traffic engineering. Data preprocessing includes steps such as video clipping, denoising, and frame extraction, stored in MP4 format and organized by location and time for easy access and analysis. Known for its high annotation accuracy (average annotation error less than 2%) and holistic coverage of roundabout traffic scenes, the dataset introduces new dynamic image processing technologies and video augmentation algorithms to significantly improve video analysis performance. It provides more comprehensive and dynamic traffic information compared to existing fixed-point camera datasets on the market. It has significant application value in solving real-time traffic monitoring problems and improving autonomous driving processing capabilities. Due to the scarcity of drone aerial data resources, this dataset is rare and highly valuable in traffic data, and can be easily extended to analyze other traffic scenarios.