I'm working on an urgent case using custom vision to do the selection of defected solar cell photos from a huge amount of library. Due to security requirement, the customer wants to export the model to on-prem to do the prediction. According to the documentation, it could be slightly less accurate than doing in the cloud. I'm wondering if you have the further explanation regarding this difference and how to improve the precision on-prem. Another question is how will it be charged on-prem prediction if the server can't connect to Azure. Hope to hear the feedback soon.2 votes
It would be very helpful to be able to download the compact model as a managed .DLL that has a single .Classify method. This way we could integrate the real time model into any application.
Maybe add GPU option and/or multicore.9 votes
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