prikaz prve stranice dokumenta Detekcija objekata u slikama primjenom ML.NET biblioteke
Access restricted to students and staff of home institution
undergraduate thesis
Detekcija objekata u slikama primjenom ML.NET biblioteke
2021. urn:nbn:hr:179:645215
Morača, Ivan
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Morača, I. (2021). Detekcija objekata u slikama primjenom ML.NET biblioteke (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:645215

Morača, Ivan. "Detekcija objekata u slikama primjenom ML.NET biblioteke." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:645215

Morača, Ivan. "Detekcija objekata u slikama primjenom ML.NET biblioteke." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:645215

Morača, I. (2021). 'Detekcija objekata u slikama primjenom ML.NET biblioteke', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:645215

Morača I. Detekcija objekata u slikama primjenom ML.NET biblioteke [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:179:645215

I. Morača, "Detekcija objekata u slikama primjenom ML.NET biblioteke", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:645215

Please login to the repository to save this object to your list.
Metadata
TitleDetekcija objekata u slikama primjenom ML.NET biblioteke
AuthorIvan Morača
MentorMatko Šarić (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu je obrađen primjer implementacije YOLO arhitekture u C# programskom jeziku pomoću biblioteke ML.NET. Također su obrađeni neki potrebni osnovni pojmovi koji se direktno ili indirektno tiču umjetne inteligencije, odnosno dubo [5]kog učenja realiziranog konvolucijskim neuralnim mrežama. Ovaj rad nastoji funkcionalno objasniti strukturu konvolucijskih neuralnih mreža, ali također i zaključiti zašto je struktura točno takva kakva jest. Druga točka koje se ovaj rad dotiče je općenita YOLO arhitektura i ono što je razlikuje od ostalih neuralnih mreža svog vremena. Naposlijetku se ta saznanja iskoriste da bi se praktično realizirala aplikacija čija logika počiva na tim temeljima.
Abstract (english)
This bachelor's thesis paper titled „Object detection in images using the ML.NET library“ covers the topic of implementing YOLO architecture in C# by using the ML.NET library. It also covers some basic terms mandatory to understanding the thesis which are directly or indirectly linked to artificial intelligence; that is, deep learning realized through convoluted neural networks. In this paper it is attempted to functionally explain the structure of CNNs, but also conclude why that same structure is so similar to the cerebral complex. The second term the paper covers is the general YOLO architecture and what differentiates it from other neural networks of its time. In the main part of the paper that knowledge is used to create a practical example of those principles at work.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:645215
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 students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-12-08 12:58:59