Image Classification with ml5.js

The Coding Train · Beginner ·🧬 Deep Learning ·1y ago

About this lesson

This video covers image classification in ml5.js 1.0. I demonstrate both the default MobileNet model as well as how to train your own classifier with transfer leraning and teachable machine. Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/1-classification/image-classification p5.js Web Editor Sketches: 🕹️ Image Classification: https://editor.p5js.org/codingtrain/sketches/A2W-0ayI5 🕹️ Image Classification with Webcam: https://editor.p5js.org/codingtrain/sketches/r9LjJqaw6 🕹️ Image Classification - Drag and Drop: https://editor.p5js.org/codingtrain/sketches/v1sAlvSHR 🕹️ Image Classification - Display label and confidence: https://editor.p5js.org/codingtrain/sketches/7zA6_MlIo 🕹️ Image Classification - Tint: https://editor.p5js.org/codingtrain/sketches/uHN5htRpC 🎥 Previous: https://youtu.be/jmznx0Q1fP0?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 Next: https://youtu.be/QEzRxnuaZCk?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: 💻 ml5.js: https://ml5js.org/ 🏫 Introduction to Machine Learning for the Arts: https://github.com/ml5js/Intro-ML-Arts-IMA-F24 📄 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications: https://arxiv.org/abs/1704.04861 💻 Tensorflow.js port of MobileNet: https://github.com/tensorflow/tfjs-models/tree/master/mobilenet 💻 Image-Net: https://image-net.org/ 🎤 https://www.youtube.com/watch?v=40riCqvRoMs 🌐 Excavating AI: The Politics of Images in Machine Learning Training Sets: https://excavating.ai/ 🖼️ ml5 ImageClassifier: https://docs.ml5js.org/#/reference/image-classifier 📱 Teachable Machine: https://teachablemachine.withgoogle.com/ Timestamps: 0:00 Introduction 2:30 What is MobileNet? 4:53 What is ImageNet? 10:32 ml5.js Classifier Code! 21:19 Incorporating Live Video 24:51 Training your own model Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://thecod

Original Description

This video covers image classification in ml5.js 1.0. I demonstrate both the default MobileNet model as well as how to train your own classifier with transfer leraning and teachable machine. Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/1-classification/image-classification p5.js Web Editor Sketches: 🕹️ Image Classification: https://editor.p5js.org/codingtrain/sketches/A2W-0ayI5 🕹️ Image Classification with Webcam: https://editor.p5js.org/codingtrain/sketches/r9LjJqaw6 🕹️ Image Classification - Drag and Drop: https://editor.p5js.org/codingtrain/sketches/v1sAlvSHR 🕹️ Image Classification - Display label and confidence: https://editor.p5js.org/codingtrain/sketches/7zA6_MlIo 🕹️ Image Classification - Tint: https://editor.p5js.org/codingtrain/sketches/uHN5htRpC 🎥 Previous: https://youtu.be/jmznx0Q1fP0?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 Next: https://youtu.be/QEzRxnuaZCk?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: 💻 ml5.js: https://ml5js.org/ 🏫 Introduction to Machine Learning for the Arts: https://github.com/ml5js/Intro-ML-Arts-IMA-F24 📄 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications: https://arxiv.org/abs/1704.04861 💻 Tensorflow.js port of MobileNet: https://github.com/tensorflow/tfjs-models/tree/master/mobilenet 💻 Image-Net: https://image-net.org/ 🎤 https://www.youtube.com/watch?v=40riCqvRoMs 🌐 Excavating AI: The Politics of Images in Machine Learning Training Sets: https://excavating.ai/ 🖼️ ml5 ImageClassifier: https://docs.ml5js.org/#/reference/image-classifier 📱 Teachable Machine: https://teachablemachine.withgoogle.com/ Timestamps: 0:00 Introduction 2:30 What is MobileNet? 4:53 What is ImageNet? 10:32 ml5.js Classifier Code! 21:19 Incorporating Live Video 24:51 Training your own model Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://thecod
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Chapters (6)

Introduction
2:30 What is MobileNet?
4:53 What is ImageNet?
10:32 ml5.js Classifier Code!
21:19 Incorporating Live Video
24:51 Training your own model
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