Traffic Accident Scene Multi-Target Detection Image Dataset

The current transportation sector faces increasingly severe traffic accident issues, and the lack of data leads to inefficient accident analysis and handling. Existing target detection datasets are insufficient in the annotation of vehicles, personnel, and warning lines, limiting the performance enhancement of intelligent transportation systems. This dataset aims to provide high-quality images of traffic accident scenes to support the development of multi-target detection technology and meet the business needs of traffic management and accident analysis. Images in the dataset are captured with high-resolution cameras under different weather and lighting conditions to ensure data diversity and representativeness. Regarding quality control, multiple rounds of annotation and expert review are conducted to ensure the accuracy and consistency of annotation information. Data is stored in JPEG format organized in a folder structure for easy processing and use.