Urban Road Construction Debris and Traffic Environment Image Dataset

The current transportation industry faces the impact of construction debris on road safety and traffic efficiency, especially in the context of accelerated urbanization, making the management and monitoring of construction sites particularly important. However, existing monitoring methods often rely on manual inspections, which are inefficient and easily influenced by subjective factors. To improve the accuracy and efficiency of detecting construction debris, this dataset aims to provide high-quality image data to assist researchers and developers in conducting deep learning training in the field of object detection, thereby enhancing the responsiveness and accuracy of intelligent transportation systems. Data collection is conducted using high-definition cameras at different times and weather conditions, ensuring coverage of diverse construction scenarios. Each image undergoes multiple rounds of annotation and consistency checks to ensure the accuracy and reliability of the data. The data is stored in JPG format and classified by time and location for ease of subsequent use and analysis.