Classifying Drawings with DoodleNet
Quick, draw! In this video, I demonstrate how to use the DoodleNet pre-trained machine learning model to classify drawings of cats, strawberries, and other common doodles in JavaScript (with p5.js and ml5.js).
ml5 webpage with documentation about the DoodleNet model.
Google webpage with Quick Draw dataset with over 50 millions drawings.
Yining Shi's repository with experiments about the Doodle Classifier.
In this coding challenge, I take a closer look at the Quick, Draw! dataset and create a simple node API to "replay" drawings of rainbows and cats using p5.js.
In this challenge, I demonstrate the entire process of training and deploying a machine learning classification model in JavaScript -- data collection, model training, and prediction!
- Editing
by Mathieu Blanchette
- Animations
by Jason Heglund