Tourist attractions classification using ResNet

Nanda Maulina Firdaus, Dina Chahyati, Mohamad Ivan Fanany

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

Abstract

Smart tourism is a keyword for describe the tourist on emerging forms of ICT. One application of smart tourism is to classify tourist attractions automatically, where the data in the form of pictures taken by tourists. However, there are some problems in application of tourist attractions classifications. First, in one place may have different objects and traits. Second, in some places may have a similar architecture, so it could be difficult for the system to classify the places. In this study, we focused on the tourist attractions in Jakarta and Depok using ResNet50. We divided this study into 2 scenarios. Scenario 1 is a model with 12 classes, and scenario 2 is a model with 16 classes. The results are ResNet50 has been able to handle both research problems, although not yet maximized, with average accuracy in scenario 1 is 92.17% and scenario 2 is 93.75%.

Original languageEnglish
Title of host publication2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages429-433
Number of pages5
ISBN (Electronic)9781728101354
DOIs
Publication statusPublished - 17 Jan 2019
Event10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 - Yogyakarta, Indonesia
Duration: 27 Oct 201828 Oct 2018

Publication series

Name2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018

Conference

Conference10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
Country/TerritoryIndonesia
CityYogyakarta
Period27/10/1828/10/18

Keywords

  • Depok
  • Jakarta
  • ResNet50
  • Smart tourism
  • Touris Attractions classification

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