TransfermaticCSIS at Grossmont College

    CSIS 285 - Computer Vision

    Recent Professors
    Not yet assigned
    Recent Semesters
    No scheduled sections on record
    Class Size
    Not published
    Credits
    3
    Prerequisite
    "C" grade or higher or "Pass" in CSIS 115 or equivalent.
    Transfers To
    CSU
    Description
    Computer Vision introduces the foundational concepts and techniques used to enable machines to interpret and understand visual information from the world. The course covers key topics such as image processing, feature extraction, object recognition, and deep learning models for vision tasks. Students will engage in practical exercises to develop and apply computer vision algorithms to real-world problems. (CSU/UC).