let classifier;

​

// A variable to hold the image we want to classify

let img;

​

function preload() {

  classifier = ml5.imageClassifier('MobileNet');

  img = loadImage('rose-flower-3698050_960_720.jpg');

}

​

function setup() {

  createCanvas(400, 400);

  classifier.classify(img, gotResult);

  image(img, 0, 0,350,300);

}

​

// A function to run when we get any errors and the results

function gotResult(error, results) {

  // Display error in the console

  if (error) {

    console.error(error);

  }

  // The results are in an array ordered by confidence.

  console.log(results);

  createDiv('Label: ' + results[0].label);

  createDiv('Confidence: ' + nf(results[0].confidence, 0, 2));

}