Deep Learning, Artificial Intelligence, Object Detection, Yolov5, Yolo.
than YOLOv5s, YOLOv5m and YOLOv5l, and the gap of AP value is more than 1.5%. In addition, according to the features of drone-captured images, the parameters of commonly used photometric distortions and geometric distortions are adjusted. YOLOv5x is used as the basis for development of TPH-YOLOv5.