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undergraduate thesis
Detekcija pomorskih markera korištenjem kamera
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:689310
Magdalenić, Maja
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Magdalenić, M. (2021). Detekcija pomorskih markera korištenjem kamera (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:689310

Magdalenić, Maja. "Detekcija pomorskih markera korištenjem kamera." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:689310

Magdalenić, Maja. "Detekcija pomorskih markera korištenjem kamera." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:689310

Magdalenić, M. (2021). 'Detekcija pomorskih markera korištenjem kamera', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:689310

Magdalenić M. Detekcija pomorskih markera korištenjem kamera [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:689310

M. Magdalenić, "Detekcija pomorskih markera korištenjem kamera", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:689310

Metadata
TitleDetekcija pomorskih markera korištenjem kamera
Title (english)Detection of sea markers using cameras
AuthorMaja Magdalenić
MentorNikola Mišković (mentor)
Committee memberNikola Mišković (predsjednik povjerenstva)
Committee memberIvan Lončar (član povjerenstva)
Committee memberNadir Kapetanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu najprije je opisan način rada detektora objekata, a zatim detaljno objašnjen postupak izrade detektora objekata (pomorskih markera) korištenjem Tensorflow platforme za strojno učenje i Tensorflow Object Detection alata za korištenje unaprijed treniranih modela metodom prijenosa učenja. Razvijena su 2 modela detektora različite arhitekture (Faster R-CNN i SSD). Modeli su validirani pomoću COCO metrike te je dan grafički prikaz rezultata. Također, oba modela su testirana na određenom setu podataka, a na temelju toga napravljena je usporedba performansi modela te je donesen zaključak koji bi model bio prikladniji za korištenje.
Abstract (english)
This paper first describes how object detectors work and then explains in detail the process of making object detector (in this case sea markers) using Tensorflow deep learning platform and Tensorflow Object Detection tool for using pre-trained models with learning transfer method. Two models of detectors with different architecture (Faster R-CNN and SSD) were developed. The models were validated using COCO metrics and a graphical representation of the results was given. Also, both models were tested with a specific data set, and based on that, a comparison of the model’s performances was made. In the end there is a conclusion which model would be more appropriate.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:689310
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 09:20:17