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 Development & Events

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

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.

Bringing Back Object Detector to ml5

Bringing Back Object Detector to ml5

Yujin Yi

A log of summer 2025 project

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

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

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

Bairui Su

Load models using async setup

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

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

ml5.js

Friendly Machine Learning for the Web

A New Code of Conduct and License for ml5.js

A New Code of Conduct and License for ml5.js

ml5.js Archive

Launching our Code of Conduct and software license

Introducing ml5.js Code of Conduct

Introducing ml5.js Code of Conduct

ml5.js

A call for comment on developing our Code of Conduct

Let’s Read A Story

Let’s Read A Story

ml5.js Archive

Talking to children’s books using semantic similarity

The Subtext of a Black Corpus

The Subtext of a Black Corpus

ml5.js Archive

In conversation with ITP SIRs Nikita Huggins & Ayodamola Okunseinde

The Hard Fun of Designing Alternatives to Smart Toys

The Hard Fun of Designing Alternatives to Smart Toys

ml5.js Archive

An introduction to ml5.js written in 2018

ml5.js, Friendly Open Source Machine Learning Library for the Web

ml5.js, Friendly Open Source Machine Learning Library for the Web

ml5.js Archive

An introduction to ml5.js written in 2018

Featured Projects

AI Image Classification with ml5.js

AI Image Classification with ml5.js

Ali Aslan

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

ml5 + p5play Moving Ball

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.

Human Pose Controlled Bluetooth Robot Car

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.

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!

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ml5.js is an open source project developed and maintained by NYU ITP/IMA and NYU Shanghai IMA programs and by artists, designers, students, technologists, and developers from all over the world.