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master's thesis
Detekcija semafora zasnovana na strojnom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:219725
Ivanušić, Vedran
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ivanušić, V. (2021). Detekcija semafora zasnovana na strojnom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:219725

Ivanušić, Vedran. "Detekcija semafora zasnovana na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:219725

Ivanušić, Vedran. "Detekcija semafora zasnovana na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:219725

Ivanušić, V. (2021). 'Detekcija semafora zasnovana na strojnom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:219725

Ivanušić V. Detekcija semafora zasnovana na strojnom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:219725

V. Ivanušić, "Detekcija semafora zasnovana na strojnom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:219725

Metadata
TitleDetekcija semafora zasnovana na strojnom učenju
Title (english)Traffic Light Detection Based on Machine Learning
AuthorVedran Ivanušić
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberTomislav Pribanić (član povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-02-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad pokazuje jedan od mogućih načina detekcije objekata pomoću strojnog učenja. Naglasak je na korištenju najnovijih metoda i alata dostupnih za područje dubokog učenja. Korištenjem ujedinjene arhitekture za lokalizaciju i klasifikaciju moguće je u jednom prolazu kroz neuronsku mrežu detektirati omeđujuće okvire i vjerojatnosti pojave objekata, što pojednostavljuje proces učenja.
Abstract (english)
This paper shows one of the possible methods of object detection using machine learning. Emphasis is on using the latest methods and tools available for deep learning. Using unified architecture for localization and classification it is possible to detect bounding boxes and object probabilities after one pass through neural network, which simplifies the training process.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:219725
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
Access conditionsClosed access
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Created on2023-01-13 09:09:03