In this lesson, you'll create an image model using Google's Teachable Machine to play a rock, paper, scissors game with your webcam!
Note: You will need a webcam or a camera on your computer to create the images for the image model.
In this lesson, you will create an image model using Google's Teachable Machine to recognise rock, paper and scissors hand gestures.
Google's Teachable Machine is a tool that allows you to create machine learning models. You'll train the model to recognize different hand gestures for rock, paper, and scissors.
In another lesson in this course we will use the model to build an AI Rock, Paper, Scissors game.
First we need to open the Google's Teachable Machine website to create our model.
Click on the Get Started button.
Click on the Image Project button to create a new image model project, and then click on the Standard image model option.
This will bring you to the screen where we can create our classes for our image model.
In an AI image model, a class is a category that the model can recognize. For example, in our rock, paper, scissors game, we will have three classes: rock, paper, and scissors. The AI will learn to recognize images of each class and be able to tell them apart.
There will be two classes already added to your model called 'Class 1' and 'Class 2'.
Add a third class by clicking on the 'Add a class' button and then rename your classes to:
Now let's create and add the images for the rock gesture to the Rock class.