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Step 8    Once we have got the sample images of both the class and subject, we click the button “Train
                               Model” in the window with the heading Training. This starts the process of training the model.

                      Step 9    Once the model is trained, the message will change to “Model Trained”. Now the model is ready
                               for testing. So, once we bring any of the subjects in front of the camera in any position, the
                               output of the model would be able to identify what the subject is. It would reflect in percentage
                               as to how much percent it is able to identify the subject in comparison to the images which were
                               used for training the model.















                      Step 10   We can test the system with the other subjects also, like we did in Step 9.
                      Step 11   The code of the Project that we created can be exported by clicking the Export Model button:





                      Step 12    Once we click on Export Model button, it opens up the window which gives you the option to
                               get the shareable link of it or to Download the code, which could be embedded on the website
                               of yours.























                 1.2 Teachable Machines Project using Pose

                      Step 1   Visit https://teachablemachine.withgoogle.com/ and click Get Started.
                      Step 2   Select the Pose Project option.

                      Step 3    The next screen gives you the option to name the two classes, which ideally would be the name
                               of the subjects or objects or elements that you want to run the ML on and train the model.







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