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.