Tunnel and Special Scenarios Traffic Safety Dataset

The current transportation industry is facing increasingly severe safety hazards, especially in tunnels and special scenarios where traffic accidents frequently occur and there is an urgent need for effective monitoring and evaluation methods. Existing monitoring systems often rely on manual monitoring, which is inefficient and prone to errors, lacking real-time and accuracy. This dataset aims to support the training of object detection algorithms by providing high-quality image data to achieve intelligent traffic safety monitoring. Data collection is performed using high-resolution cameras in different tunnels and special scenarios to ensure coverage of various situations. Additionally, a multi-round annotation and expert review mechanism is adopted to ensure consistency and accuracy in annotations. The data is stored in JPG format and organized by scenario for convenient use and analysis. The core advantage of the dataset is its high-quality annotation, with all image annotations achieving over 95% accuracy and a consistency check rate up to 98%. The new data enhancement techniques used have improved the model's generalization capability by 20%, effectively reducing the incidence of traffic accidents and enhancing safety in practical applications.