A New Classification Approach of Cultural Heritage: Deep Learning Based Image Recognition

dc.contributor.authorAtas, Serhat
dc.contributor.authorKarakose, Mehmet
dc.date.accessioned2026-08-12T16:08:42Z
dc.date.issued2023
dc.departmentFırat Üniversitesi
dc.description2023 International Conference on Sustaining Heritage: Innovative and Digital Approaches, ICSH 2023 -- 18 June 2023 through 19 June 2023 -- Virtual, Online -- 198561
dc.description.abstractWith the development of technology, artificial intelligence is becoming gigantic and entering many areas. This development of artificial intelligence has also revealed beautiful studies by making contributions to the cultural heritage. These studies have shown that our cultural self and technology are actually not far from each other and are instrumental in useful studies. Many platforms have contributed to the development of various studies as a front for combining cultural heritage with developing artificial intelligence. In these various studies, not only artificial intelligence, but many different technologies have been used and tried to contribute to the cultural heritage. We have brought together deep learning and cultural heritage by deconstructing a study in this field. In our study, together with the special data set we have created, we have carried out a study that tries to recognize cultural heritage structures with deep learning by choosing a suitable model for our study, and we have described the contributions we have made in this study in this article. © 2023 IEEE.
dc.identifier.doi10.1109/ICSH57060.2023.10482831
dc.identifier.endpage99
dc.identifier.isbn979-835039828-1
dc.identifier.scopus2-s2.0-85190549274
dc.identifier.scopusqualityN/A
dc.identifier.startpage95
dc.identifier.urihttps://doi.org/10.1109/ICSH57060.2023.10482831
dc.identifier.urihttps://hdl.handle.net/11508/41366
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2023 International Conference on Sustaining Heritage: Innovative and Digital Approaches, ICSH 2023
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectcultural heritage; deep learning; image classification
dc.titleA New Classification Approach of Cultural Heritage: Deep Learning Based Image Recognition
dc.typeConference Object

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