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.
Comments
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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