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<h1>Image Classifier With Teachable Machines</h1>
<p>Made for Google Code-In</p>
<p><strong>Task Description</strong></p>
<p>Using Glitch and the Teachable Machines, build a Book Detector with Tensorflow.js. When a book is recognized, the code would randomly suggest a book/tell a famous quote from a book. Here is an example Project to get you started: https://glitch.com/~voltaic-acorn</p>
<h3>Details</h3>
<p>1) Collecting Data</p>
<p>Teachable Machine allows you to create your dataset just by using your webcam! I created a database consisting of three classes ( Three Books ) and approximately grabbed 100 pictures for each book/class</p>
<p><img src="/assets/gciTales/01-teachableMachines/01-collect.png" alt="" /></p>
<p>2) Training</p>
<p>Training on teachable machines is as simple as clicking the train button. I did not even have to modify any configurations. </p>
<p><img src="/assets/gciTales/01-teachableMachines/02-train.png" alt="" /></p>
<p>3) Finding Labels</p>
<p>Because I originally entered the entire name of the book and it's author's name as the label, the class name got truncated (Note to self, use shorter class names :p ). I then modified the code to print the modified label names in an alert box. </p>
<p><img src="/assets/gciTales/01-teachableMachines/03-label.png" alt="" /></p>
<p><img src="/assets/gciTales/01-teachableMachines/04-alert.png" alt="" /></p>
<p>4) Adding a suggestions function</p>
<p>I first added a text field on the main page and then modified the JavaScript file to suggest a similar book whenever the model predicted with an accuracy >= 98% </p>
<p><img src="/assets/gciTales/01-teachableMachines/05-html.png" alt="" /></p>
<p><img src="/assets/gciTales/01-teachableMachines/06-js.png" alt="" /></p>
<p>5) Running!</p>
<p>Here it is running!</p>
<p><img src="/assets/gciTales/01-teachableMachines/07-eg.png" alt="" /></p>
<p><img src="/assets/gciTales/01-teachableMachines/08-eg.png" alt="" /></p>
<p>Remix this project:-</p>
<p>https://luminous-opinion.glitch.me</p>
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