Wind turbines play a vital role in renewable energy generation, with their installations rapidly expanding worldwide. These structures are clearly visible in high-resolution aerial imagery, but manually identifying and mapping them is time-consuming and inefficient. This deep learning model streamlines the process by automatically detecting wind turbines through the analysis of high-resolution imagery, enabling faster and more accurate geospatial mapping.