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undergraduate thesis
Raspoznavanje igraćih karata zasnovano na strojnom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:430200
Lipovac, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Lipovac, M. (2024). Raspoznavanje igraćih karata zasnovano na strojnom učenju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:430200

Lipovac, Marko. "Raspoznavanje igraćih karata zasnovano na strojnom učenju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:430200

Lipovac, Marko. "Raspoznavanje igraćih karata zasnovano na strojnom učenju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:430200

Lipovac, M. (2024). 'Raspoznavanje igraćih karata zasnovano na strojnom učenju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:430200

Lipovac M. Raspoznavanje igraćih karata zasnovano na strojnom učenju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:430200

M. Lipovac, "Raspoznavanje igraćih karata zasnovano na strojnom učenju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:430200

Metadata
TitleRaspoznavanje igraćih karata zasnovano na strojnom učenju
Title (english)Recognition of Playing Cards Based on Machine Learning
AuthorMarko Lipovac
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberNenad Markuš (član povjerenstva)
Committee memberLovro Boban (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Strojno učenje zasnovano na konvolucijskim neuronskim mrežama jedan je od najsnažnijih čimbenika poboljšanja brojnih algoritama u računarskoj znanosti, a ovaj trend je posebno izražen u području računalnog vida gdje je strojno učenje omogućilo nagli napredak u rješavanju velikog broja različitih problema. Cilj zadatka je implementirati sustav raspoznavanja igraćih karata postupcima strojnog učenja. Zadatak uključuje pronalaženje i pripremu slika za učenje. Potrebno je dizajnirati sustav za raspoznavanje igraćih karata u slici te provesti učenje sustava. Konačni sustav potrebno je testirati na testom skupu uzoraka te analizirati točnost prepoznavanja karata.
Abstract (english)
Machine learning based on convolutional neural networks is one of the most powerful factors in the improvement of numerous algorithms in computer science, and this trend is particularly pronounced in the field of computer vision, where machine learning has enabled rapid progress in solving a large number of different problems. The goal of the task is to implement a system for recognizing playing cards using machine learning procedures. The task involves finding and preparing images for learning. It is necessary to design a system for recognizing playing cards in an image and implement system learning. It is necessary to test the final system on a test set of samples and analyze the accuracy of card recognition.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:430200
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 on2024-10-12 21:19:48