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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:
p5.js Web Editor Sketches:
🕹️ Image Classification:
🕹️ Image Classification with Webcam:
🕹️ Image Classification - Drag and Drop:
🕹️ Image Classification - Display label and confidence:
🕹️ Image Classification - Tint:
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References:
💻 ml5.js:
🏫 Introduction to Machine Learning for the Arts:
📄 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications:
💻 Tensorflow.js port of MobileNet:
💻 Image-Net:
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🌐 Excavating AI: The Politics of Images in Machine Learning Training Sets:
🖼️ ml5 ImageClassifier:
📱 Teachable Machine:
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
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#machinelearningml #webcam #imageclassification #ml5js #mobilenet #ml5js #javascript
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2024/10/08
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