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undergraduate thesis
USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. urn:nbn:hr:200:962844
Klečina, Tin
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

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Klečina, T. (2021). USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:962844

Klečina, Tin. "USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:962844

Klečina, Tin. "USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:962844

Klečina, T. (2021). 'USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 16 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:962844

Klečina T. USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2025 January 16] Available at: https://urn.nsk.hr/urn:nbn:hr:200:962844

T. Klečina, "USPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:962844

Metadata
TitleUSPOREDBA ALATA ZA AUTOMATIZIRANO OZNAČAVANJE SLIKA
Title (english)COMPARISON OF AUTOMATED IMAGE LABELING TOOLS
AuthorTin Klečina
MentorIvan Aleksi (mentor)
Committee memberIvan Aleksi (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberTomislav Keser (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2021-10-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Architecture of Computer Systems
Abstract
U radu je prikazano nekoliko popularnih internet aplikacija za naprednu pretragu slika koje koriste alate za automatizirano označavanje slika pri njihovom postavljanju u svoju bazu. U glavnom dijelu rada opisano je nekoliko popularnih alata za automatizirano označavanje slika, navedene su njihove mogućnosti, prikazan je primjer korištenja istih te je priložen cjenik njihovih usluga. Oni se koriste algoritmima umjetne inteligencije i strojnog učenja kako bi prepoznali objekte, lica, tekst, boje i ostala svojstva slike. Ovi alati dragocjeni su u svijetu s ogromnim količinama slika koje se trebaju pohraniti u baze podataka. Na kraju rada, prikazana je tablica usporedbe za sve navedene alate za označavanje slika.
Abstract (english)
This paper presents a few popular internet applications for advanced image search that use automated picture labeling tools for recording picture details in database. Few of the most popular automated image labeling tools are described in the main part of thesis, their capabilities are stated and an example of their use is shown along with their pricing options. These tools use artificial intelligence and machine learning algorithms to locate and recognize objects, faces, text, colors and other image properties. These tools are invaluable in the world filled with huge amount of images that need to be stored in databases. This thesis ends with comparison table for all the described image labeling tools.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:962844
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
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 conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-11-22 15:34:49