Thesis Details

Anotátor datové sady pro trénování neuronových sítí

Bachelor's Thesis Student: Schneider Martin Academic Year: 2020/2021 Supervisor: Beran Vítězslav, doc. Ing., Ph.D.
English title
Dataset Annotator for Neural Network Training
Language
Czech
Abstract

The goal of this thesis is design and implementation of a system for image data annotation which will learn neural networks. An important feature of this system is the iterative approach of learning, where the annotated set is extended by the neural network itself and users make corrections of these extensions. The system consists of an information system with an embedded annotation tool. Information system communicates with neural network management program. The information system is designed according to the MVC architectural model. The frontend of the application is built on JavaScript library - React and is designed according to Material Design conventions using the Material-UI framework. The frontend maintains a permanent connection to the Python backend using the WebSocket protocol, which is also used by the backend to communicate with the neural network management program. The NoSQL database system uses MongoDB technology. 

Keywords

annotator, annotation tool, iterative learning, neural network, graphical user interface, web application, information system, JavaScript, React, Material Design, Python, MongoDB, WebSocket 

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
16 June 2021
Reviewer
Materna Zdeněk, Ing., Ph.D.
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
SCHNEIDER, Martin. Anotátor datové sady pro trénování neuronových sítí. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-16. Supervised by Beran Vítězslav. Available from: https://www.fit.vut.cz/study/thesis/23292/
BibTeX 
@bachelorsthesis{FITBT23292,
    author = "Martin Schneider",
    type = "Bachelor's thesis",
    title = "Anot\'{a}tor datov\'{e} sady pro tr\'{e}nov\'{a}n\'{i} neuronov\'{y}ch s\'{i}t\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23292/"
}

Theses

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