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master's thesis
Semantička segmentacija osoba dubokim konvolucijskim modelom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:579376
Šegota, Natalija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šegota, N. (2023). Semantička segmentacija osoba dubokim konvolucijskim modelom (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:579376

Šegota, Natalija. "Semantička segmentacija osoba dubokim konvolucijskim modelom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:579376

Šegota, Natalija. "Semantička segmentacija osoba dubokim konvolucijskim modelom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:579376

Šegota, N. (2023). 'Semantička segmentacija osoba dubokim konvolucijskim modelom', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:579376

Šegota N. Semantička segmentacija osoba dubokim konvolucijskim modelom [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:579376

N. Šegota, "Semantička segmentacija osoba dubokim konvolucijskim modelom", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:579376

Metadata
TitleSemantička segmentacija osoba dubokim konvolucijskim modelom
Title (english)Semantic Segmentation of Humans Using a Deep Convolutional Model
AuthorNatalija Šegota
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberGoran Delač (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se problemom klasifikacije svakog piksela slike. Objašnjeni su modeli zasnovani na dubokim neuronskim mrežama, koje se koristi pri semantičkoj segmentaciji slike. Sustav za semantičku segmentaciju osoba programski je ostvaren, a zatim i procijenjen prikladnim metodama. Procjena je provedena na javno dostupnom skupu slika računanjem omjera presjeka i unije oznake slike i predikcije dobivene modelom.
Abstract (english)
This paper examines the problem of image pixel by pixel classification. The models for semantic image segmentation based on deep neural networks have been explained as well. The semantic segmentation of human system has been implemented and evaluated by appropriate methods. The evaluation was made on a publicly available dataset of images using by calculating the ratio of the overlap area to the combined area of prediction and ground truth.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:579376
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-10-11 10:38:28