Real-Time Object Detection Using YOLOv5

Computer vision tasks like real-time object detection are employed in a range of settings like virtual reality, observation, and autonomous cars. The input data are initially gathered via the technique, typically using cameras or other imaging devices. The object detection system analyzes the data at various sizes and locations while detecting using anchor boxes as conventional bounding boxes. These technologies seek to be applied in a variety of contexts, such as advanced driver assistance systems and driver less cars (ADAS). Overall, the accuracy and detection rate are both satisfactory the practical application requirements.