How to Easily Add Emotion Detection to Your App With face-api.js

How to Easily Add Emotion Detection to Your App With face-api.js

Facial recognition made easy

The popularity of image recognition continues to grow as more and more sophisticated tools see the daylight. With advances in AI and computer vision (and the fact that now we have an enormous amount of data available thanks to the internet), now it’s also possible to do face expression recognition inside the browser.

Today, I would like to introduce you to face-api.js, which is a JavaScript face recognition library implemented on top of TensorFlow.js, the popular machine learning library created for JavaScript.

Face-api is super easy to use. It has a powerful API that exposes only the necessary configuration, hiding all the underlying layers, such as actually writing neural nets. Apart from different models of recognition, it also comes with pre-built drawing functions so we don’t have to mess around with a canvas.

In this tutorial, I will cover how you can use it to detect emotions on images. In fact, just to show you how easy it is to implement it using face-api.js, the whole script will be around 20 lines. So let’s jump into it.

How to Easily Add Emotion Detection to Your App With face-api.js

javascript web-development faceapi emotion-detection ai webtips

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