Vehicle Classification Using Convolutional Neural Network

Abstract

Convolutional Neural Network (CNN), a class of artificial neural network that has gotten to be most well known in a few computer vision assignment. In this work, we will presents convolutional neural organize for classifying the vehicle. Vehicle classification plays vital role of various application such as surveillance, security system and to prevent accident. The most challenge of computer vision to achieve due to variations in shapes and colors of vehicle. To classify the vehicle there are two methods consists of extract of feature and classification. Above two methods work using convolutional neural network. The method shows good performance in rousing on objective standard data set. In our mentioned method has reached absolutely best accuracy. We have got 86% accuracy from our dataset.