Suburban Road Mixed Traffic Scene Traffic Risk Identification Image Dataset

The current transportation industry faces increasingly severe safety hazards, especially on suburban roads, where traffic risks in mixed traffic scenes are difficult to effectively identify and manage. Existing monitoring systems typically rely on traditional rule-based methods, lacking flexibility and intelligence, resulting in high accident rates. This dataset aims to help develop more precise object detection algorithms by providing high-quality image data to improve the effectiveness of traffic safety monitoring. The collection of the dataset was conducted using high-resolution cameras under different times and weather conditions, covering various complex scenes. To ensure data quality, multiple rounds of annotation and consistency checks were implemented, and it was reviewed by experts in the transportation field. The data is stored in JPG format and organized sequentially by image ID.