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Object detection based on the model developed from deep learning networks, YOLOv5+ (Pytorch0) using remote sensing images with high spatial resolution

Initially, we enhanced the Yolov5 network through significant modifications, leading to the development of a novel network referred to as Yolov5+. Subsequently, we employed this proposed network to accurately detect various objects, including cars and pools. Finally, a comparative analysis was performed to assess the performance of the obtained results against those obtained using the Yolov5 and Yolov7 networks.