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Machine learning algorithms and Computer Vision technologies for detecting 52 playing cards...

Discussion in 'Computer Science' started by Prashant Akerkar, Sep 16, 2020.

  1. https://en.wikipedia.org/wiki/Standard_52-card_deck

    https://en.wikipedia.org/wiki/Playing_card

    https://www.google.com/search?q=pla...hUKEwjcuIj2hu3rAhXtzjgGHZegCj0Q_AUoAnoECAwQAg

    https://www.google.com/search?q=pla...hUKEwjcuIj2hu3rAhXtzjgGHZegCj0Q_AUoAnoECAwQAg

    https://www.instagram.com/p/CFMBjc6J7PN/?utm_source=ig_web_button_share_sheet

    Are there Machine learning algorithms & Computer vision technologies which can view the 52 playing card deck?

    Input : 52 playing card deck images as .jpg,.gif,.tiff

    Output : Detecting the playing card names.

    For example : Spade Ace, Three diamonds, Jack of Hearts, King of Clubs.

    All the playing cards names should be detected by inputting playing cards images.

    If no, what are the limitations? Do the 52 playing card images have to be modified?

    One can also add one more playing card as "Joker" to the existing 52 playing cards added as a image as input.

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