The Sensitive Botanist's Plant Identification Station

In these videos I demonstrate how to train image and sound classification machine learning models and deploy those models to a web application using the p5.js and ml5.js JavaScript libraries.
Introducing Teachable Machine 2.0 (from Google Creative Lab)! Train a computer to recognize your own images, sounds, & poses. In this video, I train an image classifier and import the machine learning model into a p5.js sketch with the ml5.js library.
A web-based tool that makes creating machine learning models fast, easy, and accessible to everyone.
A library for machine learning in JavaScript.
ml5 page with documentation and supporting material.
ImageNet is an image database organized according to the WordNet hierarchy.
Academic article about MobileNets.
Link to tutorial track on the process behind “transfer learning” with ml5's feature extractor.
Link to tutorial track on ml5's feature extractor.
by Mathieu Blanchette
by Jason Heglund
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