Accident Vehicles and Road Debris Segmentation Dataset

The current transportation industry faces frequent accidents and traffic safety issues, especially in urban areas. The identification and handling of accident vehicles and road debris has become an urgent problem to solve. Existing solutions often rely on manual detection, which is inefficient, prone to errors, and cannot achieve real-time monitoring and automated processing. This dataset aims to provide high-quality images of accident vehicles and road debris to support the development of intelligent transportation systems and enhance the level of automation in accident handling. Data collection is conducted with high-resolution cameras on urban roads, covering various weather conditions and lighting environments. Each image is annotated by professionals in multiple rounds and undergoes consistency checks and expert review to ensure annotation quality. The data is stored in JPG format, with annotation information in JSON format, facilitating subsequent processing and analysis.