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undergraduate thesis
Segmentacija objekata na slikama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:611588
Čudina, Fran
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čudina, F. (2020). Segmentacija objekata na slikama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:611588

Čudina, Fran. "Segmentacija objekata na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:611588

Čudina, Fran. "Segmentacija objekata na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:611588

Čudina, F. (2020). 'Segmentacija objekata na slikama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:611588

Čudina F. Segmentacija objekata na slikama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 June 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:611588

F. Čudina, "Segmentacija objekata na slikama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:611588

Metadata
TitleSegmentacija objekata na slikama
Title (english)Object Segmentation
AuthorFran Čudina
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberKristijan Bartol (član povjerenstva)
Committee memberDavid Bojanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Segmentacija slika, zadnjih nekoliko godina, postala je popularna tema s kojom se ljudi u velikom broju susreću tijekom svog obrazovanja. Zbog velikog opsega zadataka koje rješava, upravo primjena konvolucijskih neuronskih mreža pokazala se jednom od najboljih metoda u prepoznavanju objekata na slikama. U radu je opisana i predstavljena metoda prepoznavanja višestrukih objekata sa slike upotrebom konvolucijskih neuronskih mreža kao jedan od načina segmentacije. Skup podataka, nad kojim je mreža trenirana, sastoji se od slika iz ljudskih svakodnevnih aktivnosti. U radu je detaljno opisan proces koji je mreža prolazila, te rezultate koje je postigla učenjem na navedenom skupu podataka.
Abstract (english)
Image segmentation, over the last few years, has become a popular topic that people encounter in large numbers during their education. Due to the wide range of tasks it solves, the application of convolutional neural networks has proven to be one of the best methods in recognizing objects in images. The paper describes and presents a method of recognizing multiple objects from an image using convolutional neural networks as one of the methods of segmentation. The dataset, over which the network is trained, consists of images from human daily activities. The paper describes in detail the process that the network went through and the results it achieved by learning from the specified dataset.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:611588
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 on2023-01-14 08:39:19