How to Train and Use Three Custom Image Classifiers of Watson Visual Recognition Api with Demo Webpage
This flow shows how different custom classifiers can be trained and used in parallel to categorize images based on different aspects. In this example the classifiers are used to classify ship portraits. We get results from the classifiers how shure the classifiers are, in percent, that if is a threemast or a twomast ship and if there is a storm going on on the picture.
This example assumes that you have a free IBM Bluemix account with one free api key for one custon classifier of Visual Recognition in every Datacenter, so basically you have three different custom classifiers, one in each IBM Bluemix Datacenters. ust fill in the right api keys at the training and the classification nodes of visual recognition and you are good to go.
This is an advanced Version of an example Flow from Node-Red-Labs: https://github.com/watson-developer-cloud/node-red-labs
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