Urbanization development identification

The monitoring of urban development remains vital because it enables authorized city planning and infrastructure control and sustainable expansion. This research delivers a solid building identification mechanism which leverages a multiscale dataset while employing the YOLOv8 deep learning methodology. High-resolution aerial and satellite imagery makes up the main element in the dataset since it contains precise bounding boxes for buildings, roads, and trees throughout different types of urban areas.