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master's thesis
Detekcija objekata modelima strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:144613
Butić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Butić, F. (2023). Detekcija objekata modelima strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:144613

Butić, Filip. "Detekcija objekata modelima strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:144613

Butić, Filip. "Detekcija objekata modelima strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:144613

Butić, F. (2023). 'Detekcija objekata modelima strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:144613

Butić F. Detekcija objekata modelima strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:144613

F. Butić, "Detekcija objekata modelima strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:144613

Metadata
TitleDetekcija objekata modelima strojnog učenja
Title (english)Object detection based on machine learning models
AuthorFilip Butić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-02-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Računalni vid danas ima mnoge primjene kako u industriji tako i u znanosti. Detekcija objekata je samo jedna od područja računalnog vida te ima mnogo rješenja kao što su jednofazni i dvofazni detektori te detektori koji se ne temelje na dubokom učenju. U okviru ovog rada, preuzet je skup podataka te je pretprocesiran i očišćen od nepotrebnih razreda kao što su pješaci. Nadalje, skup podataka je augmentiran da bi se proširio skup podataka i povećala robusnost modela. Potom je provedeno više pokušaja treniranja da bi se dobio model s najboljim Naposljetku su te izvučene registarske oznake poslane OCR modelu da bi se iščitala registarska oznaka.
Abstract (english)
Computer vision has many uses today in idustry as well as in science. Object detection is one of the use cases from that area and has many solutions like the one-stage and two-stage detectors as well as detector that are not deep learning models. For the purpose of this thesis, a dataset has been downloaded, preprocessed and cleaned from other unnecessary labels such as pedestrians. Furthermore, the dataset has been augmented to increase its size and the robustness of the model. Multiple training sessions were made to get the optimal model. Finally, the extracted license plates would be sent to an OCR model so that the license plate can be read.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:144613
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 on2023-07-13 09:58:36