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Step 4 Exporting the Model: Once the model is trained and tested, it can be exported and used in various
applications. It supports formats compatible with websites, apps, and other development tools.
Activity: Building an Image Classifier with Teachable Machine
The goal of this activity is to leverage Computer Vision (CV) technology to automate and improve image
classification tasks.
The steps to build an image classifier using teachable machine are as follows:
Step 1 Visit the https://teachablemachine.withgoogle.com/ website.
The Teachable Machine website opens.
Step 2 Click on the Get Started button.
As you know, teachable machine allows you to create three types of projects, i.e., Image project, Audio
Project and Pose Project.
Step 3 Click on the Image Project button.
Step 4 Select the Standard Image Model option.
Step 5 Use your webcam to capture images or upload images for each class.
Ensure you capture diverse images for better accuracy.
Step 6 Click on the Add a Class button to add more classes.
Step 7 Click on the Train Model button after uploading data.
Teachable Machine will automatically process the data and train the model.
Step 8 Click on the Webcam or uploading test images to check the model's performance.
Step 9 Export your model by selecting one of the following options:
Download: Save the model files for offline use.
Host: Use Google’s hosting to generate a sharable link or API for integration.
Step 10 Integrate the model into your applications, such as websites, apps, or IoT devices, to classify images
in real time.
Computer Vision 205

