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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.
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