Image Detection and Segmentation using YOLO v5 for surveillance

Abstract

Segmentation an advancement of object detection where bounding boxes are placed around object in object detection whereas segmentation is used to classify every pixel in the given image. In Deep Learning, Yolov5 algorithm can be used to perform segmentation on the given data. Using YOLOv5 algorithm objects are detected and classified by surrounding the objects with the bounding boxes. Compared to the existing algorithms for segmentation, YOLOv5 algorithm has improved time complexity and accuracy. In this paper YOLOv5 algorithm is compared with the existing CNN algorithm.