Object Detection using You Only Look Once (YOLO) Algorithm in Convolution Neural Network (CNN)
The You Only Look Once (YOLO) V3 technique is suggested to be used for object detection, which results more accuracy of object detection using YOLO algorithm.
Abstract
A useful tool to utilize would be a computer vision technique that enables us to recognize and find items in an image or video. To meet the demand, many algorithms, including Region based Convolution Neural Network (RCNN) Fast Region based Convolution Neural Network (FRCNN), are available. However, in this instance the You Only Look Once (YOLO) V3 technique is suggested to be used for object detection. This program can instantly find and identify different objects. The class probabilities of the discovered photos are provided by the object identification process in YOLO, which is conducted as a regression problem. Both Python and OpenCV used for implementation of the work. The observation of the work results more accuracy of object detection using YOLO algorithm.