Page 336 - AI Ver 3.0 class 10_Flipbook
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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.


                            Task                                                          21 st  Century   #Technology Literacy
                                                                                                  #Initiative
                                                                                              Skills

                 Build a Smart Sorter                                                               [CBSE HandBook]
                 Visit the https://teachablemachine.withgoogle.com/ website and build a smart sorter. This Smart
                 Sorter uses CV to automate and enhance sorting processes through Computer Vision technology.

                                              Do the following tasks to complete the activity:
                                                 •  Form groups of 4 members
                                                 •  Find images of Bottles, Cans and Paper online or from around.
                                                 •  Visit the No-code AI tool
                                                 •  Ensure to build 3 different classes [Bottles, Cans and Paper].
                                                 •  Train the model
                                                 •  Finally, test the classifier!





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