Introductory computer vision teaching materials for VET education

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

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.

• Jezik: Angleški jezik
• Ključne besede: computer vision, Python Notebook, object detection, teaching material, segmentation
• Vrsta gradiva: Drugo
• Tipologija: 1.09 - Objavljeni strokovni prispevek na konferenci
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 61-69
• PID: 20.500.12556/RUL-155612
• UDK: 004.93:2-752
• DOI: 10.18690/um.feri.1.2024.5
• COBISS.SI-ID: 191468547
• Datum objave v RUL: 08.04.2024

Gradivo je del monografije

• Naslov: ROSUS 2024 : računalniška obdelava slik in njena uporaba v Sloveniji 2024
• Uredniki: Božidar Potočnik
• Kraj izida: Maribor
• Založnik: Univerza v Mariboru, Univerzitetna založba, Fakulteta za elektrotehniko, računalništvo in informatiko
• Leto izida: 2024
• ISBN: 978-961-286-837-6
• COBISS.SI-ID: 188298243

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Uvodni učni materiali računalniškega vida za strokovno srednješolsko izobraževanje
• Ključne besede: računalniški vid, Python Notebook, zaznavanje predmetov, učno gradivo, segmentacija