Tutorial by Examples

This lists all of the custom classifiers you have trained. 'use strict'; let watson = require('watson-developer-cloud'); var visualRecognition = watson.visual_recognition({ version: 'v3', api_key: process.env['API_KEY'], version_date:'2016-05-19' }); let url = "https://upl...

This returns information about a specific classifier ID you have trained. This includes information about its current status (i.e., if it is ready or not). 'use strict'; let watson = require('watson-developer-cloud'); var visualRecognition = watson.visual_recognition({ version: 'v3', ap...

Training a custom classifier requires a corpus of images organized into groups. In this example, I have a bunch of images of apples in one ZIP file, a bunch of images of bananas in another ZIP file, and a third group of images of things that are not fruits for a negative set. Once a custom classif...

'use strict'; let watson = require('watson-developer-cloud'); let fs = require('fs'); var visualRecognition = watson.visual_recognition({ version: 'v3', api_key: process.env.API_KEY, version_date:'2016-05-19' }); let classifier_id_to_delete = 'TheNameofMyClassifier_485506080'; ...

Prerequisites First, you have to install the watson-developer-cloud SDK. $ npm install watson-developer-cloud Classify an image URL We'll use an image of Captain America from Wikipedia. 'use strict'; let watson = require('watson-developer-cloud'); var visualRecognition = watson.visual...