Community

The ml5.js community page is dedicated to highlighting artists, technologists, makers, activists, thinkers, tinkerers, researchers, scientists, designers, students, and anyone/everyone who are working in and around machine learning in thoughtful ways. Many of these posts not only showcase what is possible with ml5.js but also what can be done when applying machine learning methodologies and technologies more broadly. Special emphasis is given to projects that highlight ethical and critical engagement with technology and/or are simply delightful.

ml5 Blog

Finding the Z-axis: Bringing Depth Estimation to ml5.js

Nasif Rincón Romaite

A look into depth estimation in ml5.js, what it allows, and the decisions behind its implementation.

Releasing Version 1.0 of ml5.js Friendly Machine Learning for the Web

ml5.js

Friendly Machine Learning for the Web

Contributing to ml5.js: From Docsify Plugins to Soft Interactions

Yafira Martinez

UX, UI, documentation, and creative coding contributions to the ml5.js ecosystem

Using ml5.js with p5.js 2.0: Now with Async Model Constructors

Bairui Su

Load models using async setup

Featured Projects

AI Image Classification with ml5.js

Ali Aslan

This tutorial demonstrates how to create AI image classification using machine learning.

#ImageClassifier

Human Pose Controlled Bluetooth Robot Car

Hamed Diakite, Amro Halwah

A robotic car with an HM-10 BLE module is controlled by human poses detected in real-time using p5.js and the PoseNet library. A neural network is trained to recognize 5 different poses, and these poses are used to control the car over Bluetooth.

#BodyPose

ml5 + p5play Moving Ball

Steve's Makerspace

This tutorial shows how ml5 PoseNet (machine learning body pose identification) is combined with p5play (physics and game engine) using p5.js.

#BodyPose

Contribute!

If you are interested to share your work, highlight an interesting article/video, or get in touch, we'd love to hear from you!