The IBM Watson Visual Recognition service uses deep learning algorithms to identify features like scenes, objects, and faces within images you upload to the service. You can also create and train custom classifiers to identify subjects that meet your requirements, using the Visual Recognition service, IBM Watson Studio, and related Python modules.
To get started with Visual Recognition, we'll need to use the usual procedure to create a Watson Studio project and define a new Python 3.5 Notebook, but we will also need to associate an IBM Watson Visual Recognition service instance with the project (a pretty easy thing to do as it turns out).
