Summary

The process for deploying the Custom Vision service itself for smaller examples and PoCs is relatively simple, as described earlier in the chapter. However, to bring the process to operation and establish a process for continual enhancement of the model with a feedback loop is quite a bit more involved, as described in the full deployment outlined in this chapter. As you can see, there are tools for the initial creation that make it easy to get started, but the complete example requires quite a bit of custom code and thought about the best way to provide the feedback necessary to maintain an evolving quality process. This is an important factor when evaluating projects using Cognitive Services as standalone APIs as compared to complete systems and services that can be purchased from vendors. Those vendors could, in fact, be using the APIs provided by Microsoft and training a custom model within the Azure services, but that would just be a part of their application and intellectual...