Introductory computer vision teaching materials for VET education

Kirn, Vasja Lev (author), Emeršič, Žiga (author), Hrastnik, Gregor (author), Meh Peer, Nataša (author), Peer, Peter (author)

Rapidly advancing development of artificial intelligence technologies, including deep learning techniques in the field of computer vision, has encouraged the need for early education about artificial intelligence in schools. This paper briefly describes the development of a computer vision curriculum, part of the AIM@VET (Artificial Intelligence Modules for Vocational Education and Training) EU project, targeting VET high-school students. The introductory materials presented in this paper are structured in three main teaching units (TUs), covering object detection and image segmentation. Each TU consists of eight tasks and a final assignment, totaling approximately 10 hours of classroom work. The course material, prepared in both traditional learning materials and in Python notebooks, combines theoretical concepts with practical coding exercises, with separate teacher and student versions. Materials rely on interactive tools and open-source libraries such as OpenCV, facilitating hands-on learning and immediate application of computer vision concepts.

• Language: English
• Keywords: computer vision, Python Notebook, object detection, teaching material, segmentation
• Work type: Other
• Typology: 1.09 - Published Professional Conference Contribution
• Organization: FRI - Faculty of Computer and Information Science
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: Str. 61-69
• PID: 20.500.12556/RUL-155612
• UDC: 004.93:2-752
• DOI: 10.18690/um.feri.1.2024.5
• COBISS.SI-ID: 191468547
• Publication date in RUL: 08.04.2024

Record is a part of a monograph

• Title: ROSUS 2024 : računalniška obdelava slik in njena uporaba v Sloveniji 2024
• Editors: Božidar Potočnik
• Place of publishing: Maribor
• Publisher: Univerza v Mariboru, Univerzitetna založba, Fakulteta za elektrotehniko, računalništvo in informatiko
• Year: 2024
• ISBN: 978-961-286-837-6
• COBISS.SI-ID: 188298243

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Title: Uvodni učni materiali računalniškega vida za strokovno srednješolsko izobraževanje
• Keywords: računalniški vid, Python Notebook, zaznavanje predmetov, učno gradivo, segmentacija