An Empirical Analysis of Deep Learning Architectures for Vehicle Make and Model Recognition

An Empirical Analysis of Deep Learning Architectures for Vehicle Make and Model Recognition

Vehicle make and model recognition is an important component of the Intelligent Transport System (ITS), which plays an essential role in the vehicle surveillance and traffic monitoring. In this paper, we evaluated the performance of the recent deep neural networks for vehicle recognition to identify...

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Bibliographic Details
Main Authors: Aqsa Hassan, Mohsin Ali, Nouman M. Durrani, Muhammad Atif Tahir
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep neural networks
vehicle make and model recognition
ensemble learning
k-fold cross-validation
Online Access:https://ieeexplore.ieee.org/document/9460843/

Internet

https://ieeexplore.ieee.org/document/9460843/

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