Detection of user interface elements on a webpage – Polina Medynska
Polina Medynska
Bachelor's thesis
Detection of user interface elements on a webpage
Abstract:
This thesis explores the application of computer vision for the detection of user interface elements on webpages. It delves into foundational concepts of artificial intelligence, machine learning, neural networks, deep learning, and computer vision. The methodology of the work involves the preparation of an experimental dataset, forming the basis for evaluating YOLO object detection models. The literature …more
Language used: English
Date on which the thesis was submitted / produced: 1. 12. 2023
Thesis defence
- Date of defence: 7. 2. 2024
- Supervisor: Ing. Jan Masner, Ph.D.
- Reader: Jan Pavlík, Ph.D.
Citation record
ISO 690-compliant citation record:
MEDYNSKA, Polina. \textit{Detection of user interface elements on a webpage}. Online. Bachelor's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/6js45t/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementBachelor programme:
Informatics
Theses on a related topic
-
Application of artificial intelligence in crisis management
Margarita Gicheva -
Visualization of hidden layers in convolutional neural networks
Jakub Hruška -
Tool for data pre-processing and iterative learning of neural networks
Kristián Malák -
Automatic Recognition of User Interface States Using Convolutional Neural Networks
Klára Petrovičová -
On-Board Change Detection in Satellite Imagery: Leveraging Transfer Learning for Flood Detection
Jonáš Herec -
Intrusion Detection System with k-means data mining and outlier detection approach
Sandeep Kumar Chandel
Name
Posted by
Uploaded/Created
Rights