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undergraduate thesis
Prepoznavanje objekata primjenom dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:351444
Vukelić, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vukelić, L. (2023). Prepoznavanje objekata primjenom dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:351444

Vukelić, Luka. "Prepoznavanje objekata primjenom dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:351444

Vukelić, Luka. "Prepoznavanje objekata primjenom dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:351444

Vukelić, L. (2023). 'Prepoznavanje objekata primjenom dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:351444

Vukelić L. Prepoznavanje objekata primjenom dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:351444

L. Vukelić, "Prepoznavanje objekata primjenom dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:351444

Metadata
TitlePrepoznavanje objekata primjenom dubokog učenja
Title (english)Object Detection Using Machine Learning
AuthorLuka Vukelić
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Kačan (član povjerenstva)
Committee memberHelena Čeović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-08-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom istraživanju opisani su osnovni modeli dubokog učenja za prepoznavanje objekata na videozapisima, s posebnim naglaskom na model YOLO. Također je odabran predtrenirani skup podataka koji sadrži slike s određenim klasama objekata. Opisan je primjer rada sustava na odabranom skupu podataka te je navedena korištena literatura.
Abstract (english)
This study describes the basic models of deep learning to identify objects in videos, with particular emphasis on the YOLO. A pre-trained data set containing images with certain object classes has also been selected. An example of the algorithm's work on the selected data set is described and the literature that was used is cited.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:351444
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 on2023-10-11 11:00:02