Raspoznavanje igraćih karata zasnovano na strojnom učenju

undergraduate thesis

• Title (english): Recognition of Playing Cards Based on Machine Learning
• Author: Marko Lipovac
• Mentor: Igor Sunday Pandžić (mentor)
• Committee member: Igor Sunday Pandžić (predsjednik povjerenstva)
• Committee member: Nenad Markuš (član povjerenstva)
• Committee member: Lovro Boban (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-09-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Strojno učenje zasnovano na konvolucijskim neuronskim mrežama jedan je od najsnažnijih čimbenika poboljšanja brojnih algoritama u računarskoj znanosti, a ovaj trend je posebno izražen u području računalnog vida gdje je strojno učenje omogućilo nagli napredak u rješavanju velikog broja različitih problema. Cilj zadatka je implementirati sustav raspoznavanja igraćih karata postupcima strojnog učenja. Zadatak uključuje pronalaženje i pripremu slika za učenje. Potrebno je dizajnirati sustav za raspoznavanje igraćih karata u slici te provesti učenje sustava. Konačni sustav potrebno je testirati na testom skupu uzoraka te analizirati točnost prepoznavanja karata.

Abstract (english)

Machine learning based on convolutional neural networks is one of the most powerful factors in the improvement of numerous algorithms in computer science, and this trend is particularly pronounced in the field of computer vision, where machine learning has enabled rapid progress in solving a large number of different problems. The goal of the task is to implement a system for recognizing playing cards using machine learning procedures. The task involves finding and preparing images for learning. It is necessary to design a system for recognizing playing cards in an image and implement system learning. It is necessary to test the final system on a test set of samples and analyze the accuracy of card recognition.

• Keywords: Strojno učenje
• Keywords (english): Machine Learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:430200
• 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: 2024-10-12 21:19:48