The Semantic “MNIST” - Do you know similar projects?












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Have you seen the movie, Rain Man? Do you remember the scene when Dustin Hoffman can count the exact number of toothpicks on the floor in the blink of an eye. This scene gave the idea to implement it as a machine learning example. We don't count toothpicks but points in an image.



In the classic MNIST task, a typical classifier program takes images of handwritten digits and recognizes these digits. For example:



For enter image description here the MNIST classifier says it's 8



The "SMNIST" program doesn't take images of digits but images that contain less than 10 points:



enter image description here The "SMNIST" classifier should says it's 8



For further details see the blog post: https://bhaxor.blog.hu/2019/03/10/the_semantic_mnist

The sources can be found at https://gitlab.com/nbatfai/smnist

Here is an introductory video: https://youtu.be/-tSRwJgVpJk



Do you know similar projects or research?



(My question originally was posted here: https://stackoverflow.com/questions/55092766/the-semantic-mnist-do-you-know-similar-projects )










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    $begingroup$


    Have you seen the movie, Rain Man? Do you remember the scene when Dustin Hoffman can count the exact number of toothpicks on the floor in the blink of an eye. This scene gave the idea to implement it as a machine learning example. We don't count toothpicks but points in an image.



    In the classic MNIST task, a typical classifier program takes images of handwritten digits and recognizes these digits. For example:



    For enter image description here the MNIST classifier says it's 8



    The "SMNIST" program doesn't take images of digits but images that contain less than 10 points:



    enter image description here The "SMNIST" classifier should says it's 8



    For further details see the blog post: https://bhaxor.blog.hu/2019/03/10/the_semantic_mnist

    The sources can be found at https://gitlab.com/nbatfai/smnist

    Here is an introductory video: https://youtu.be/-tSRwJgVpJk



    Do you know similar projects or research?



    (My question originally was posted here: https://stackoverflow.com/questions/55092766/the-semantic-mnist-do-you-know-similar-projects )










    share|improve this question







    New contributor




    Norbert Bátfai is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







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      $begingroup$


      Have you seen the movie, Rain Man? Do you remember the scene when Dustin Hoffman can count the exact number of toothpicks on the floor in the blink of an eye. This scene gave the idea to implement it as a machine learning example. We don't count toothpicks but points in an image.



      In the classic MNIST task, a typical classifier program takes images of handwritten digits and recognizes these digits. For example:



      For enter image description here the MNIST classifier says it's 8



      The "SMNIST" program doesn't take images of digits but images that contain less than 10 points:



      enter image description here The "SMNIST" classifier should says it's 8



      For further details see the blog post: https://bhaxor.blog.hu/2019/03/10/the_semantic_mnist

      The sources can be found at https://gitlab.com/nbatfai/smnist

      Here is an introductory video: https://youtu.be/-tSRwJgVpJk



      Do you know similar projects or research?



      (My question originally was posted here: https://stackoverflow.com/questions/55092766/the-semantic-mnist-do-you-know-similar-projects )










      share|improve this question







      New contributor




      Norbert Bátfai is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      Have you seen the movie, Rain Man? Do you remember the scene when Dustin Hoffman can count the exact number of toothpicks on the floor in the blink of an eye. This scene gave the idea to implement it as a machine learning example. We don't count toothpicks but points in an image.



      In the classic MNIST task, a typical classifier program takes images of handwritten digits and recognizes these digits. For example:



      For enter image description here the MNIST classifier says it's 8



      The "SMNIST" program doesn't take images of digits but images that contain less than 10 points:



      enter image description here The "SMNIST" classifier should says it's 8



      For further details see the blog post: https://bhaxor.blog.hu/2019/03/10/the_semantic_mnist

      The sources can be found at https://gitlab.com/nbatfai/smnist

      Here is an introductory video: https://youtu.be/-tSRwJgVpJk



      Do you know similar projects or research?



      (My question originally was posted here: https://stackoverflow.com/questions/55092766/the-semantic-mnist-do-you-know-similar-projects )







      mnist






      share|improve this question







      New contributor




      Norbert Bátfai is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Norbert Bátfai is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









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      Norbert Bátfai is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      Norbert Bátfai is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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