Image Classification with ml5.js

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Image Classification with ml5.js 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: 🎥 Previous: 🎥 Next: 🎥 All: 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: 🎤 🌐 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 🚂 Website: 👾 Share Your Creation! 🚩 Suggest Topics: 💡 GitHub: 💬 Discord: 💖 Membership: 🛒 Store: 🖋️ Twitter: 📸 Instagram: 🎥 🎥 🔗 p5.js: 🔗 p5.js Web Editor: 🔗 Processing: 📄 Code of Conduct: This description was auto-generated. If you see a problem, please open an issue: #machinelearningml #webcam #imageclassification #ml5js #mobilenet #ml5js #javascript
  2024/10/08      youtube

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