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undergraduate thesis
Detekcija teksta na osobnim dokumentima u stvarnom vremenu
2022. urn:nbn:hr:168:898127
Anđelković, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Anđelković, K. (2022). Detekcija teksta na osobnim dokumentima u stvarnom vremenu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:898127

Anđelković, Karlo. "Detekcija teksta na osobnim dokumentima u stvarnom vremenu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:898127

Anđelković, Karlo. "Detekcija teksta na osobnim dokumentima u stvarnom vremenu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:898127

Anđelković, K. (2022). 'Detekcija teksta na osobnim dokumentima u stvarnom vremenu', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:898127

Anđelković K. Detekcija teksta na osobnim dokumentima u stvarnom vremenu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:898127

K. Anđelković, "Detekcija teksta na osobnim dokumentima u stvarnom vremenu", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:898127

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Metadata
TitleDetekcija teksta na osobnim dokumentima u stvarnom vremenu
Title (english)Realtime Identity Document Text Detection
AuthorKarlo Anđelković
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberHelena Čeović (član povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kratak uvod u koncepte i ideje dubokog učenja i računalnog vida. Detekcija objekata bavi se klasifikacijom i lokalizacijom objekata u vizualnim medijima i nalazi brojne primjene u raznolikim područjima poput medicine, robotike i automobilske industrije. Tehnološki napreci omogućili su rad detekcije u stvarnom vremenu i napravili su tehnologiju dostupnom i laganom za korištenje. U ovom radu prikazana je implementacija detekcije teksta na osobnim dokumentima YOLOv5 modelom.
Abstract (english)
A brief introduction to the concepts and ideas of deep learning and computer vision. Object detection deals with problems of classification and localization of objects in visual media and it offers numerous applications in various fields such as medicine, robotics and automotive industry. Technological advances have enabled the use of real-time detection and made the technology accessible and easy to use. This paper presents an implementation of text detection using the YOLOv5 model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:898127
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 on2023-01-15 09:40:12