A Review on Classifying Object through Machine Learning: International conference on Recent Trends in Artificial Intelligence, IOT, Smart Cities & Applications (ICAISC-2020)

Abstract

Object detection has been a very important topic with the advancement of Computers vision systems. With the appearance of deep learning techniques, the accuracy for object detection has increased to their peak. Our project aims to include state-of-the-art technique for object detection to realize high accuracy with real-time performance. In this paper, we’ll provide a review of deep learning-based object detection framework, namely Convolutional Neutral Network (CNN) and advanced version of it namely, RCNN. Then we develop a system to detect multiple objects in a very single image. The network is trained on the foremost challenging publicly available data set (PASCAL VOC), on which object detection challenges is being conducted annually. The resulting system is fast and accurate