Teachable Machine is a web-based tool that empowers users to effortlessly create machine learning models for their websites, applications, or other resources. No programming skills are required, making it accessible even for beginners. Whether you want to teach your computer to recognize images, sounds, or poses, this tool provides a user-friendly experience.
User-Friendly Interface: Ideal for beginners with no programming skills.
Versatility: Create models for image classification, audio recognition, or body pose classification.
Compatibility: Models generated are in TensorFlow.js format, compatible with JavaScript, making them suitable for integration with tools like Glitch, P5.js, and Node.js.
Export Options: Export models for use in Coral, Arduino, and other platforms.
Image Classification: Train your model to classify images using existing files or live webcam input.
Audio Recognition: Classify audio using short sound recordings, teaching your model to distinguish between different sounds.
Body Pose Classification: Teach your model to recognize body poses using images or a webcam.
Bananameter: Create a model to determine the ripeness of a banana.
Snap Clap Whistle: Build a model recognizing simple sounds you make.
Head Tilt: Develop a model to identify the direction in which you tilt your head.
Tiny Sorter: Connect Arduino with Teachable Machine for DIY experiments.
Project Euphonia: Enable unconventional communication methods using sounds controlled by facial expressions.
