The paper presents the results of preparing a labeled dataset from open sources for 11 object classes and the analysis of two well-known object detection methods in the task of urban electronic inventory in Saint Petersburg in Russia under the concept of Smart City methods and technologies. We proposed YOLOv4 for urban object detection such as Windows, Doors, Adv Billboards, Ramps, etc. To do that...Show More
