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* The OpenCV library.
As stated in the introduction, the classifier is based on a model that was generated with Azure Custom Vision. In particular, the model was retrieved from [https://dev.to/azure/creating-an-image-recognition-solution-with-azure-iot-edge-and-azure-cognitive-services-4n5i this project] by [https://dev.to/gloveboxes Dave Glover]. Glover's project is extremely useful to understand how Custom Vision—and, in general, Azure Cognitive Services—work. It is worth remembering that '''no particular Machine Learning-related skills are required to create such a model'''.
Glover's project follows the approach suggested by Azure, which makes use of containers. For the sake of simplicity, this Technical Note is based on a simpler strategy, which is closer to the usual approach used in the embedded world. As such, it doesn't make use of any container.
