Prepoznavanje objekata primjenom dubokog učenja

undergraduate thesis

• Title (english): Object Detection Using Machine Learning
• Author: Luka Vukelić
• Mentor: Goran Delač (mentor)
• Committee member: Goran Delač (predsjednik povjerenstva)
• Committee member: Marin Kačan (član povjerenstva)
• Committee member: Helena Čeović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-08-28, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom istraživanju opisani su osnovni modeli dubokog učenja za prepoznavanje objekata na videozapisima, s posebnim naglaskom na model YOLO. Također je odabran predtrenirani skup podataka koji sadrži slike s određenim klasama objekata. Opisan je primjer rada sustava na odabranom skupu podataka te je navedena korištena literatura.

Abstract (english)

This study describes the basic models of deep learning to identify objects in videos, with particular emphasis on the YOLO. A pre-trained data set containing images with certain object classes has also been selected. An example of the algorithm's work on the selected data set is described and the literature that was used is cited.

• Keywords: detekcija objekata; YOLO algoritam; duboko učenje
• Keywords (english): object detection; YOLO algorithm; deep learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:351444
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 11:00:02