Detection of user interface elements on a webpage

Polina Medynska

Bakalářská práce

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 review spans these key domains, establishing a robust foundation for investigating element detection on images of web pages. In the practical part, models were trained and evaluated using publicly available data. The results section includes an analysis of the used approach, a comparison of models, and suggestions for further development.

Keywords

Computer vision, User interface, Detection, Artificial intelligence, Recognition, Neural networks

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 1. 12. 2023

Obhajoba závěrečné práce

• Obhajoba proběhla 7. 2. 2024
• Vedoucí: Ing. Jan Masner, Ph.D.
• Oponent: Jan Pavlík, Ph.D.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program:
Informatics