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master's thesis
Otkrivanje predmeta primjenom modela dubokog učenja
2023. urn:nbn:hr:168:358786
Bjelčić, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Bjelčić, T. (2023). Otkrivanje predmeta primjenom modela dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:358786

Bjelčić, Tomislav. "Otkrivanje predmeta primjenom modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:358786

Bjelčić, Tomislav. "Otkrivanje predmeta primjenom modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:358786

Bjelčić, T. (2023). 'Otkrivanje predmeta primjenom modela dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:358786

Bjelčić T. Otkrivanje predmeta primjenom modela dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:358786

T. Bjelčić, "Otkrivanje predmeta primjenom modela dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:358786

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Metadata
TitleOtkrivanje predmeta primjenom modela dubokog učenja
Title (english)Object Detection Using Deep Neural Models
AuthorTomislav Bjelčić
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-13, Croatia
Abstract
Ovaj rad opisuje zadatak otkrivanja predmeta kod digitalnih slika primjenom dubokog učenja. Naglasak rada je na opisu popularnog modela YOLOv5. Opisan je postupak učenja takvog modela na vlastito odabranom skupu podataka.
Abstract (english)
This thesis describes the task of object detection in digital images using deep learning. The emphasis of the thesis is on the description of the popular YOLOv5 model. The procedure for learning such a model on a custom data set is described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:358786
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
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2023-10-11 08:26:27