TY - GEN
T1 - Tourist attractions classification using ResNet
AU - Firdaus, Nanda Maulina
AU - Chahyati, Dina
AU - Fanany, Mohamad Ivan
N1 - Publisher Copyright:
© 2019 IEEE. All Rights Reserved.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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%.
AB - 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%.
KW - Depok
KW - Jakarta
KW - ResNet50
KW - Smart tourism
KW - Touris Attractions classification
UR - http://www.scopus.com/inward/record.url?scp=85062405489&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2018.8618235
DO - 10.1109/ICACSIS.2018.8618235
M3 - Conference contribution
AN - SCOPUS:85062405489
T3 - 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
SP - 429
EP - 433
BT - 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
Y2 - 27 October 2018 through 28 October 2018
ER -