Toll Station Entrance Recognition Image Dataset

The current traffic driving industry faces challenges of insufficient accuracy in detecting highway toll station entrances. Traditional solutions rely on fixed cameras and manual monitoring, often resulting in misjudgments and delays, especially when lighting and weather conditions change. This dataset aims to improve the accuracy and efficiency of automatic toll station entrance detection through high-quality image data, meeting the development needs of intelligent transportation systems. Data is collected using high-resolution camera vehicle-mounted devices under different weather and lighting conditions. Quality control includes multiple rounds of annotation and consistency checks, and reviews by traffic sign experts, with a team size of 30 people. Data preprocessing includes noise reduction, lighting correction, and image segmentation, stored in JPG format and organized in a hierarchical directory structure.