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master's thesis
Generiranje realističnih podataka za treniranje modela dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:419756
Čerić, Paolo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čerić, P. (2017). Generiranje realističnih podataka za treniranje modela dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:419756

Čerić, Paolo. "Generiranje realističnih podataka za treniranje modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:419756

Čerić, Paolo. "Generiranje realističnih podataka za treniranje modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:419756

Čerić, P. (2017). 'Generiranje realističnih podataka za treniranje modela dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:419756

Čerić P. Generiranje realističnih podataka za treniranje modela dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:419756

P. Čerić, "Generiranje realističnih podataka za treniranje modela dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:419756

Metadata
TitleGeneriranje realističnih podataka za treniranje modela dubokog učenja
Title (english)Generating Realistic Data for Training of Deep Learning Models
AuthorPaolo Čerić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu ispitali smo mogućnosti treniranja Faster R-CNN duboke neuronske mreže nad generiranim podacima kroz slučaj detekcije i klasifikacije znakova na ispisanim računima. Fokus rada bio je na analizi stvarnih podataka te implementaciji sustava za njihovo automatsko generiranje. Analizom rezultata ustanovljena je visoka sličnost generiranog i stvarnog skupa podataka po pitanju mogućnosti lokalizacije znakova, dok je kod klasifikacije uočen znatniji data mismatch odnosno veća razlika generiranog i stvarnog skupa podataka. Predloženo objašnjenje tog problema jest manjak određenih fontova u generiranom skupu podataka, odnosno neki su fontovi prisutni samo u stvarnom skupu, no ne i u generiranom.
Abstract (english)
In this thesis we explored the possibilities of training Faster R-CNN deep neural network on automatically generated dataset, investigating the case of detection and classification of characters on receipts. The focus of the thesis was to analyze real data and to implement a system for its automatic generation. In case of network’s localization capabilities, high similarity between generated and real dataset were detected, meaning low data mismatch was achieved. When it comes to classification, the data mismatch is significantly higher. A proposed explanation of that problem is the lack of certain fonts in the generated dataset, meaning there are some fonts present in the real dataset, but not in the generated one since they are not easily obtainable.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:419756
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 19:43:33