Indonesia Toll Road Vehicle Classification Using Transfer Learning with Pre-Trained Resnet Models

Ananto Tri Sasongko, Mohamad Ivan Fanany

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Research in vehicle classification through various methods has become a popular field of study for decades. Mainly, vehicles are categorized based on the model, manufactured, logo, types, and dimensions, and the dataset for it is available publicly and relatively easy to get. However, based on our survey, vehicle classification based on the number of axles using deep learning has not been conducted, and the public dataset for it is not available yet. This paper aims to compose a vehicle classification based on type and number of axles then categorize it into five groups, namely, Group-I, Group-II, Group-III, Group-IV, and Group-V. This vehicle grouping refers to the Indonesia toll road tariff regulation. Nowadays, deep learning as one of the most advanced methods becomes the preferred technique to apply in image classifications due to its high performance, so do this study. Utilizing Convolution Neural Networks (CNN) as image segmentation and classification, Transfer Learning as a technique, Resnet architectures as base models, and fine-Tuning as an enhancement, we can achieve accuracy about 99% for the specific vehicle classification in this study.

Original languageEnglish
Title of host publication2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019
EditorsFerry Wahyu Wibowo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages373-378
Number of pages6
ISBN (Electronic)9781728145204
DOIs
Publication statusPublished - Dec 2019
Event2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019 - Yogyakarta, Indonesia
Duration: 5 Dec 20196 Dec 2019

Publication series

Name2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019

Conference

Conference2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019
Country/TerritoryIndonesia
CityYogyakarta
Period5/12/196/12/19

Keywords

  • Convolutional Neural Networks
  • Dataset
  • Deep Learning
  • Fine-Tuning
  • Transfer Learning
  • Vehicle Classification

Fingerprint

Dive into the research topics of 'Indonesia Toll Road Vehicle Classification Using Transfer Learning with Pre-Trained Resnet Models'. Together they form a unique fingerprint.

Cite this