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undergraduate thesis
Primjena računalnog vida za detekciju objekata u luci
2022. urn:nbn:hr:179:720203
Rako, Bruna
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

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Rako, B. (2022). Primjena računalnog vida za detekciju objekata u luci (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:720203

Rako, Bruna. "Primjena računalnog vida za detekciju objekata u luci." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:720203

Rako, Bruna. "Primjena računalnog vida za detekciju objekata u luci." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:720203

Rako, B. (2022). 'Primjena računalnog vida za detekciju objekata u luci', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:720203

Rako B. Primjena računalnog vida za detekciju objekata u luci [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:179:720203

B. Rako, "Primjena računalnog vida za detekciju objekata u luci", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:720203

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Metadata
TitlePrimjena računalnog vida za detekciju objekata u luci
Title (english)Computer vision application for harbor object detection
AuthorBruna Rako
MentorSven Gotovac (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi temom detekcije objekata u luci korištenjem principa računalnog vida i strojnog učenja na konkretnom primjeru video zapisa iz splitske gradske luke i korištenjem YOLOv5 algoritma za dostizanje krajnjeg rezultata. Provođeno je treniranje, validacija i testiranje modela, a svi rezultati detekcije i lokalizacije su komentirani i dobro opisani. Kao dio rada dan je pregled nekoliko drugih modela za detekciju objekata, pregled različitih modela strojnog učenja kao i njihove prednosti, nedostaci i moguća poboljšanja.
Abstract (english)
Topic of this paper is object detection inside harbor using computer vision and machine learning principles in an example of video files from Split city harbor and using YOLOv5 algorithm for reaching the end result. Training, validation and testing of the model were carried out and all detection and localization results are commented and well argumented. As a part of the paper, overview of several other models for object detection, various machine learning models as well as their advantages, disadvantages and possible improvements are given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:720203
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 authenticated users
Terms of useLicence In copyright icon
Created on2023-06-20 12:40:09