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master's thesis
Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:740158
Jelečević, Ljudevit
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Jelečević, Lj. (2023). Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:740158

Jelečević, Ljudevit. "Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:740158

Jelečević, Ljudevit. "Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:740158

Jelečević, Lj. (2023). 'Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:740158

Jelečević Lj. Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:740158

Lj. Jelečević, "Usporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:740158

Metadata
TitleUsporedba modela radnog okvira YOLO u detekciji i klasifikaciji objekata
Title (english)Comparison of YOLO frameworks in object detection and classification
AuthorLjudevit Jelečević
MentorMarko Horvat (mentor)
Committee memberMarko Horvat (predsjednik povjerenstva)
Committee memberMirjana Domazet-Lošo (član povjerenstva)
Committee memberTomislav Jagušt (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-07, Croatia
Abstract
Usporedba modela tri različite razine kompleksnosti iz mreža YOLOv4, YOLOv5, YOLOv6 i YOLOv7 na zadatku detekcije predmeta. Modeli su trenirani na skupu podataka nastalom uzorkovanjem skupa podataka COCO train2017 i testirani na skupu podataka COCO val2017 koristeći resurse dostupne na cloud platformi Kaggle. Uz međusobnu usporedbu rezultata treniranih modela, dan je i općeniti pregled evolucije arhitekture YOLO neuronskih mreža.
Abstract (english)
Comparison of DNN models with differing complexities originating from YOLOv4, YOLOv5, YOLOv6 and YOLOv7 networks. All models are trained on dataset sampled from COCO train2017 dataset and tested using COCO val2017 dataset while utilizing Kaggle cloud platform resources. A general overview of YOLO network’s architecture evolution is given alongside trained models performance comparison.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:740158
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 09:09:02