Mobilní aplikace pro rozpoznávání čtyřlístků v rámci fotografií
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dc.contributor.advisor |
Žáček, Petr
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dc.contributor.author |
Giertl, Matúš
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dc.date.accessioned |
2022-07-15T09:23:56Z |
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dc.date.available |
2022-07-15T09:23:56Z |
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dc.date.issued |
2021-12-03 |
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dc.identifier |
Elektronický archiv Knihovny UTB |
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dc.identifier.uri |
http://hdl.handle.net/10563/51794
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dc.description.abstract |
Práca sa zaoberá analýzou a implementáciou machine learning modelu pre object detection a jeho následnou integráciou do mobilnej aplikácie. Cieľom bolo vytvorenie aplikácie pre real-time on-device detekciu štvorlístkov v tráve. Samotnej implementácii predchádzal výskum ako oblasti computer vision, tak i sveta mobilného vývoja a výsledný model, ako i aplikácia boli trénované a vyvíjané pomocou Apple nástrojov Create ML a SwiftUI. |
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dc.format |
123, 110910 |
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dc.language.iso |
sk |
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dc.publisher |
Univerzita Tomáše Bati ve Zlíně |
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dc.rights |
Bez omezení |
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dc.subject |
Machine Learning
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cs |
dc.subject |
On-device machine learning
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cs |
dc.subject |
Computer Vision
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cs |
dc.subject |
Object Detection
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cs |
dc.subject |
Object Localization
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cs |
dc.subject |
Apple
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cs |
dc.subject |
Core ML
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cs |
dc.subject |
Create ML
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cs |
dc.subject |
Swift
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cs |
dc.subject |
SwiftUI
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cs |
dc.subject |
UIKit
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cs |
dc.subject |
mobilný vývoj
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cs |
dc.subject |
natívny vývoj
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cs |
dc.subject |
mobilné aplikácie
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cs |
dc.subject |
TestFlight
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cs |
dc.subject |
App Store Connect
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cs |
dc.subject |
GitHub
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cs |
dc.subject |
Machine Learning
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en |
dc.subject |
On-device machine learning
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en |
dc.subject |
Computer Vision
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en |
dc.subject |
Object Detection
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en |
dc.subject |
Object Localization
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en |
dc.subject |
Apple
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en |
dc.subject |
Core ML
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en |
dc.subject |
Create ML
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en |
dc.subject |
Swift
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en |
dc.subject |
SwiftUI
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en |
dc.subject |
UIKit
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en |
dc.subject |
mobile development
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en |
dc.subject |
native development
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en |
dc.subject |
mobile apps
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en |
dc.subject |
TestFlight
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en |
dc.subject |
App Store Connect
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en |
dc.subject |
GitHub
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en |
dc.title |
Mobilní aplikace pro rozpoznávání čtyřlístků v rámci fotografií |
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dc.title.alternative |
Mobile Application for Recognizing Four-Leaf Clovers within Photos |
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dc.type |
diplomová práce |
cs |
dc.contributor.referee |
Janota, David |
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dc.date.accepted |
2022-06-08 |
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dc.description.abstract-translated |
The thesis deals with the analysis and implementation of a machine learning model for object detection and its subsequent integration into a mobile application. The goal was to create an application for real-time on-device detection of four-leaf clover in patches of grass. The implementation itself was preceded by research in both the field of computer vision and the world of mobile app development. The resulting model as well as the application were trained and developed using Apple's Create ML and SwiftUI tools. |
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dc.description.department |
Ústav informatiky a umělé inteligence |
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dc.thesis.degree-discipline |
Softwarové inženýrství |
cs |
dc.thesis.degree-discipline |
Software Engineering |
en |
dc.thesis.degree-grantor |
Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky |
cs |
dc.thesis.degree-grantor |
Tomas Bata University in Zlín. Faculty of Applied Informatics |
en |
dc.thesis.degree-name |
Ing. |
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dc.thesis.degree-program |
Informační technologie |
cs |
dc.thesis.degree-program |
Information Technologies |
en |
dc.identifier.stag |
61125
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dc.date.submitted |
2022-05-19 |
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