Teachable Machine: Empowering Users to Train AI Models

Overview:

     Teachable Machine is a web-based tool developed by Google that allows users to train their own machine learning models without any coding experience. It uses a web camera to gather images or videos, and then uses those images to train a machine learning model. The user can then use the model to classify new images or videos.

Users:

     Teachable Machine is designed for educators, artists, students, innovators, makers of all kinds – really, anyone who has an idea they want to explore. No prerequisite machine learning knowledge is required.

Goal:

     The primary goal of Teachable Machine is to make creating machine learning models fast, easy, and accessible to everyone. It aims to help users train a computer to recognize their images, sounds, and poses without writing any machine learning code.

Uses and Features:

1. Image Recognition: Teach a model to classify images using files or your webcam.
2. Sound Recognition: Teach a model to classify audio by recording short sound samples.
3. Pose Recognition: Teach a model to classify body positions using files or striking poses in your webcam.
4. Model Training: Train your model, then instantly test it out to see whether it can correctly classify new examples.
5. Model Export: Export your model for your projects: sites, apps, and more. You can download your model or host it online.

How it Works:

1. Gather: Gather and group your examples into classes, or categories, that you want the computer to learn.
2. Train: Train your model, then instantly test it out to see whether it can correctly classify new examples.
3. Export: Export your model for your projects: sites, apps, and more. You can download your model or host it online.

Customer Companies and Statistics:

1. Company: Teachable Machine is a project by Google.
2. Users: It is designed for educators, artists, students, innovators, makers of all kinds.
3. Training Data: Users can use their webcam or image files to gather images or videos for training.
4. Model Use: The models created with Teachable Machine can be used in websites, apps, and more.
5. Integration: The models made with Teachable Machine are real TensorFlow.js models that work anywhere JavaScript runs, so they play nice with tools like Glitch, P5.js, Node.js & more.