Teachable Machine

Introducing Teachable Machine: the ultimate tool for creating fast and easy machine learning models. With Teachable Machine, anyone can harness the power of machine learning, even without prior experience. Excite …

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About Teachable Machine

Introducing Teachable Machine: the ultimate tool for creating fast and easy machine learning models. With Teachable Machine, anyone can harness the power of machine learning, even without prior experience. Excite and entice with Teachable Machine’s user-friendly interface, allowing you to effortlessly build and deploy ML models. Get started today and unlock the potential of machine learning for yourself.

Use Cases

Use Case 1: AI Ethics Education Problem: Students and beginners often find machine learning concepts abstract and difficult to grasp. Solution: The visual interface provides a hands-on way to learn about classification, training data, and algorithmic bias. Example: An AI + Ethics lesson for K-12 students exploring how training data affects model accuracy. ### Use Case 2: Assistive Communication Problem: Individuals with speech or motor impairments need alternative ways to trigger communication devices. Solution: Teachable Machine allows users to train models to recognize specific facial gestures or body poses to trigger sounds. Example: Project Euphonia using facial gestures to help users communicate in new ways. ### Use Case 3: Interactive Movement and Art Problem: Artists want to create web-based installations that respond to user body movements without complex coding. Solution: Pose classification allows the browser to recognize body positions in real-time via a webcam. Example: A 'Dancing with AI' project that creates interactive visual systems based on poses. ### Use Case 4: Quality Control in Agriculture Problem: Small-scale farmers need a quick way to identify crop quality or ripeness. Solution: Image classification models can be trained to distinguish between ripe and unripe produce. Example: The 'Bananameter' tutorial which teaches a model to detect if a banana is ripe.

Key Features

  • No-code visual machine learning interface - Support for image, sound, and pose classification - Real-time on-device model training and testing - Export capabilities to TensorFlow.js and TensorFlow Lite - Direct integration with Arduino and Coral hardware - Web-based data gathering from webcam or files - On-device privacy-focused data processing - Seamless hosting for trained models

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