Vehicle Image Classification with Deep Convolutional Neural Networks Regional of Bangladesh

Abstract

Road safety is a big issue for all over the world in today. Every country taking many steps to reduce road accidents, they are modernizing their traffic system by taking many scientific initiatives. And computer vision is ruling in this field. We proposed some model here which will help to detect the Bangladeshi native vehicle. In this paper we use our own dataset with six classes. In this paper we use two architectures of Convolutional Neural Network. We use DenseNet and ResNet50. From The ResNet50 we get a good accuracy in three variations. It obtain 99% accuracy. which will help in future works in this field.