Image Classification Inference using Pre-trained Models in Dwave

Hello,

  I am not a quantum computing professional.

  I need make Image Classification Inference (with a  big amount of  images) using  pre-trained model .

  Before using time and effort in research, I wanna know... it is good idea to do  Image Classification Inference in    Dwave?

   Any idea, tutorials, estimation performance...etc

 

Thanks a lot,

Pablo. 

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  • Hi Pablo,

    A good place to start would be our qboost library.

    Here is a link:
    https://github.com/dwavesystems/qboost

    This might be usable to work on your problem, or at least could be extendable depending on how many things need to be labeled. 

    The code and a Jupyter Notebook example are included in the link above.

    I hope this was helpful.

    Please feel free to reach out with more questions.

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