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master's thesis
Semantička segmentacija prometnih scena
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:518451
Vencl, Antonio
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Vencl, A. (2023). Semantička segmentacija prometnih scena (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:518451

Vencl, Antonio. "Semantička segmentacija prometnih scena." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:518451

Vencl, Antonio. "Semantička segmentacija prometnih scena." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:518451

Vencl, A. (2023). 'Semantička segmentacija prometnih scena', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:518451

Vencl A. Semantička segmentacija prometnih scena [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 May 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:518451

A. Vencl, "Semantička segmentacija prometnih scena", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:518451

Metadata
TitleSemantička segmentacija prometnih scena
Title (english)Semantic segmentation of traffic scenes
AuthorAntonio Vencl
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-10, Croatia
Abstract
U ovom radu dan je uvod u područje računalnog vida, napravljen je kratki uvod u biološku i umjetnu neuronsku mrežu. Ukratko su objašnjene konvolucijske neuronske mreže koje su česti alat u problemima računalnog vida, kao i proces učenja neuronskih mreža općenito Predstavljen je zadatak, te jedna implementacija koja rješava sličan zadatak. Predstavljeni su podaci koji su korišteni za treniranje i testiranje neuronske mreže. Objašnjen je korišteni model i koje su njegove karakteristike bitne za zadani problem. Te na kraju su pokazani rezultati na podacima za validiranje.
Abstract (english)
In this paper, an introduction to the field of computer vision was given, a short introduction to biological and artificial neural networks was made. Convolutional neural networks, which are a common tool in computer vision problems, are briefly explained, as well as the learning process of neural networks in general. The task is presented, as well as one implementation that solves a similar task. The data used for training and testing the neural network are presented. The used model is explained and which of its characteristics are important for the given problem. And at the end, the results on the validation data were shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:518451
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 on2023-10-11 10:53:10