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undergraduate thesis
Detekcija objekata na slikama
2020. urn:nbn:hr:168:952374
Kurtović, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Kurtović, T. (2020). Detekcija objekata na slikama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:952374

Kurtović, Tomislav. "Detekcija objekata na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:952374

Kurtović, Tomislav. "Detekcija objekata na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:952374

Kurtović, T. (2020). 'Detekcija objekata na slikama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:952374

Kurtović T. Detekcija objekata na slikama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:952374

T. Kurtović, "Detekcija objekata na slikama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:952374

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Metadata
TitleDetekcija objekata na slikama
Title (english)Object Detection
AuthorTomislav Kurtović
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberKristijan Bartol (član povjerenstva)
Committee memberDavid Bojanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad predstavlja neke arhitekture modela koji se koriste prilikom detektiranja objekata. Razvoj ove domene u zadnjih par godina bio je značajan, što potvrd̄uje složenost i preciznost dostupnih modela. RCNN-a bio je prvi značajan model u ovom području. Modeli koji su kasnije razvijeni su YOLO i SSD modeli i oni su pomaknuli granice i u brzini i u preciznosti detektiranja. Uključenost tvrtke Google u razvoj i distribuciju unaprijed treniranih modela takod̄er čini postupak treniranja jednostavnijim za korisnika, eliminirajući brigu o konfiguraciji arhitekture. Nakon treniranja modela slijedi implementacijski postupak u kojem se objašnjavaju svi važni koraci koji su omogućili pokretanje modela unutar mobilne platforme.
Abstract (english)
This paper presents some model architectures used in the field of object detection. The development of this domain in the last couple of years has been significant, which the complexity and precision of the available models confirm. RCNN was the first significant model in this area. After it other models such as the YOLO and SSD model were developed and have shifted boundaries both in speed and in detection accuracy. Also, Google’s involvement in the development and distribution of pretrained models makes the training process easier for the user, eliminating the concern about architecture configuration. After training the model follows the implementation process in which all the important steps that enabled the launch of the model within the mobile platform are explained.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:952374
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 09:15:27