Urban Road Construction Waste Occupation Scene Image Dataset

The current traffic industry faces issues with poor management of construction site waste, leading to urban road congestion and environmental pollution. Existing solutions often lack effective monitoring methods, resulting in delays in clearing construction waste, affecting smooth urban traffic flow. This dataset aims to assist in developing accurate target detection models by providing high-quality image data to identify and locate waste at construction sites, thereby enhancing urban traffic management efficiency. Data collection was conducted using professional cameras in different construction environments to ensure diversity and authenticity. For quality control, the data has undergone multiple rounds of annotation and expert review to ensure consistency and accuracy in the annotations. The data is stored in JPG format, organized by project and date for easy retrieval and use. The core advantage of the dataset lies in its high annotation accuracy (over 95%), diverse scene coverage (including different weather and time periods), and innovative image enhancement techniques, which significantly improve model recognition performance. Compared to traditional datasets, performance improvement can reach up to 30%. Additionally, the application value of the dataset is reflected in its ability to effectively reduce traffic congestion time and improve management efficiency at construction sites.