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Teachable Machine

Teachable Machine

A fast, easy way to create machine learning models – no coding required.

Teachable Machine Overview

Teachable Machine enables creation of machine learning models through gathering examples with a webcam, microphone, or uploaded files. Users capture images, sounds, or poses to train models directly in the browser. Training occurs with one button click, keeping data on-device unless saved to Google Drive. Models test instantly on the site, with options to tweak examples for better performance. Export supports integration into websites, apps, physical machines, and more. The tool handles image, sound, and pose recognition without coding.

More About Teachable Machine

Features:

  • Gather examples of images, sounds, or poses via upload or live capture with mic or webcam
  • Train model with a single button click in the browser
  • Test and tweak model performance on the site
  • Export model for use in websites, apps, and physical machines

How It Works:

  • Select project type: Choose between image, sound, or pose projects.
  • Gather examples: Upload images/sounds or capture them through your webcam or mic.
  • Train model: Automatically train a classification model based on input examples.
  • Test & refine: Try predictions in real time and adjust examples as needed.
  • Export: Save and export models for integration into sites, apps, or embedded systems.

Pros & Cons

Pros:

No coding required to train and export models

Processes data on-device for privacy

Supports quick testing and iteration during training

Exports real TensorFlow models for integration

Cons:

Limited to image, sound, and pose recognition types

Training confined to browser capabilities

Model complexity restricted by example gathering method

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