20.500.12556/RUL-155612 Introductory computer vision teaching materials for VET education Uvodni učni materiali računalniškega vida za strokovno srednješolsko izobraževanje 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. computer vision Python Notebook object detection teaching material segmentation računalniški vid Python Notebook zaznavanje predmetov učno gradivo segmentacija true false false Angleški jezik Slovenski jezik Drugo 2024-04-08 12:42:25 2024-04-08 12:42:26 2024-04-24 08:47:41 0000-00-00 00:00:00 2024 0 0 Str. 61-69 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.93:2-752 10.18690/um.feri.1.2024.5 191468547 188298243 Introductory+Computer+Vision+Teaching+Materials+for+VET+Education_(1).pdf Introductory+Computer+Vision+Teaching+Materials+for+VET+Education_(1).pdf 1 19056A36A60CCF4FB364E1C2996D0902 3fb6f930d48023ff3587f321cf9c58c2d56f07c4d0df112fee129826878281b9 50a1875f-f595-11ee-937a-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=182590 Fakulteta za računalništvo in informatiko 0 0 0