Vehicle Image Classification with Deep Convolutional Neural Networks Regional of Bangladesh

dc.contributor.author	Asiq, Md. Asiqur Rahman
dc.date.accessioned	2022-10-20T05:02:42Z
dc.date.available	2022-10-20T05:02:42Z
dc.date.issued	2022-01-02
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8759
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	Traffic safety	en_US
dc.subject	Traffic regulations	en_US
dc.subject	Road accidents	en_US
dc.title	Vehicle Image Classification with Deep Convolutional Neural Networks Regional of Bangladesh	en_US
dc.type	Other	en_US