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undergraduate thesis
Detekcija objekata na fotografijama
2021. urn:nbn:hr:179:048159
Tomić, Ljuban
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Tomić, Lj. (2021). Detekcija objekata na fotografijama (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:048159

Tomić, Ljuban. "Detekcija objekata na fotografijama." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:048159

Tomić, Ljuban. "Detekcija objekata na fotografijama." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:048159

Tomić, Lj. (2021). 'Detekcija objekata na fotografijama', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:048159

Tomić Lj. Detekcija objekata na fotografijama [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:179:048159

Lj. Tomić, "Detekcija objekata na fotografijama", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:048159

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Metadata
TitleDetekcija objekata na fotografijama
AuthorLjuban Tomić
MentorSven Gotovac (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu opisana je detekcija objekata. Rad ima pet poglavlja. U početku je dana definicija detekcije objekata, uz definicije srodnih zadataka računalnog vida. Potom je opisana primjena detekcije objekata u suvremenom društvu. Nakon toga, u poglavlju tri, opisane su vrste detektora, podjela na jednofazne i dvofazne i njihova temeljna načela, temeljni algoritmi iz dviju faza razvoja: prije i poslije 2014. godine, kada se pojavilo duboko učenje. Na kraju ovog poglavlja uspoređuju se različiti algoritmi po metrikama za brzinu i preciznost. Poglavlje četiri daje opis izrade rada i korištene alate, uz prikaz krajnjeg rezultata detekcije objekta na slici. U zadnjem poglavlju se donosi zaključak rada.
Abstract (english)
This theses describes object detection. It has five chapters. Firstly, the definition of object detection is given, along with the definitions of other related subtasks of computer vision. Next, applications of object detection in modern society are given. After that, in chapter three, types of detectors are described, division of them into one-stage and two-stage detectors and their main principles, main algorithms from two periods of development: before 2014. and after that, when deep learning has arrived. At the end of this chapter, a comparison of algorithms by metrics of precision and speed is given. Chapter four describes how the practical part of this work is made, which tools are used and at the end is presented the result of detection on a single image. In the end, the conclusion is made.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:048159
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
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-12-10 12:08:18