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undergraduate thesis
Sustav za rapoznavanje autora i stilova umjetničkih slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:584785
Teglović, Matea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Teglović, M. (2024). Sustav za rapoznavanje autora i stilova umjetničkih slika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:584785

Teglović, Matea. "Sustav za rapoznavanje autora i stilova umjetničkih slika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:584785

Teglović, Matea. "Sustav za rapoznavanje autora i stilova umjetničkih slika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:584785

Teglović, M. (2024). 'Sustav za rapoznavanje autora i stilova umjetničkih slika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:584785

Teglović M. Sustav za rapoznavanje autora i stilova umjetničkih slika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:584785

M. Teglović, "Sustav za rapoznavanje autora i stilova umjetničkih slika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:584785

Metadata
TitleSustav za rapoznavanje autora i stilova umjetničkih slika
Title (english)System for author and style recognition of artistic paintings
AuthorMatea Teglović
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
Committee memberZorana Doždor (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se izradom sustava za raspoznavanje autora i stilova iz umjetničkih slika. Objašnjeni su osnovni pojmovi koji olakšavaju shvaćanje korištenih metoda poput dubokog učenja, konvolucijske nauronske mreže, i prijenosnog učenja. Sustav se temelji na ResNet50 modelu, unaprijed naučenom modelu poznatom po svojoj točnosti u zadacima klasifikacije slike. Proces uključuje prikupljanje i pripremu podataka, uključujući filtriranje, augmentaciju i normalizaciju slika. Nakon implementacije modela, sustav se evaluira kako bi se utvrdila njegova točnost. Rad nudi detaljnu analizu rezultata, uključujući matrice zabune za klasifikaciju autora i stilova, te grafove funkcije gubitka i točnosti.
Abstract (english)
This paper focuses on developing a system for recognizing authors and styles in artistic images. It explains main concepts that help in understanding the methods used, such as deep learning, convolutional neural networks, and transfer learning. The system is built on the ResNet50 model, a pre-trained model renowned for its accuracy in image classification tasks. The process involves data collection and preparation, including filtering, augmentation, and normalization of images. After the model is implemented, the system is evaluated to assess its accuracy. The paper provides a detailed analysis of the results, including confusion matrices for author and style classification, as well as graphs for the loss function and accuracy.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:584785
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-10-12 22:20:37