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undergraduate thesis
Prepoznavanje objekata primjenom strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:805479
Odak, Ino
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Odak, I. (2022). Prepoznavanje objekata primjenom strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:805479

Odak, Ino. "Prepoznavanje objekata primjenom strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:805479

Odak, Ino. "Prepoznavanje objekata primjenom strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:805479

Odak, I. (2022). 'Prepoznavanje objekata primjenom strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:805479

Odak I. Prepoznavanje objekata primjenom strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:805479

I. Odak, "Prepoznavanje objekata primjenom strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:805479

Metadata
TitlePrepoznavanje objekata primjenom strojnog učenja
Title (english)Object Detection Using Machine Learning
AuthorIno Odak
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Vlaić (član povjerenstva)
Committee memberIvan Mikulić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom završnom radu izneseni su osnovni pojmovi i problemi računalnog vida. Naglasak je bio na zadatku prepoznavanja objekata te YOLO algoritmu za rješavanje ovog zadataka. Analizirani su temeljni problemi zadatka prepoznavanja objekata te su diskutirani različiti pristupi rješavanja ovog problema zajedno s njihovim prednostima i nedostatcima. Dodatno, Analizirana je YOLO familija modela s naglaskom na njihovoj funkciji gubitka, arhitekturi te postupcima treniranja i zaključivanja. Rezultat analize je implementacija računalnih programa koji demonstriraju funkcionalnosti nekih od navedenih modela napisanih u programskom jeziku Python.
Abstract (english)
The goal of this bachelor's thesis was to introduce fundemental concepts and problems of computer vision. The main focus of analysis was the task of object detection along with YOLO family of models that are used to solve this problem. Various approaches to solving the problem of object detection were discussed along with their respective benefits and drawdowns. Additionaly YOLO family of models was analysed with the focus being their architecture, loss function, traing procedure, and inference. The result of this analysis was the implementation of Python programes that demonstrate the main functionalities of some of theese models.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:805479
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 on2023-01-15 10:55:59