Price look out using web browser for the objects detected in the image

Abstract

Object Detection and Recognition in the field of computer vision is gaining popularity due to enormous number of applications associated with them. Number of algorithm are developed for object detection and recognition along with localization. In the current paper, a relative comparison of various object detecting algorithm in terms of speed is carried out and “You only look once (YOLO)” is selected for further studies. It is one of the prominent deep learning algorithm associated with object detection at real time. The algorithm scans the image only once to localize and detect multiple objects present in the image. Training is a memory and time intensive process, hence trained weights are directly used for computation. Based on the labels that are obtained from the detected objects their pricing information are obtained. This saves considerable amount of time when pricing information of objects are required in large numbers of multi-object images.