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diff --git a/docs/posts/2019-12-04-Google-Teachable-Machines.html b/docs/posts/2019-12-04-Google-Teachable-Machines.html new file mode 100644 index 0000000..d13fd6f --- /dev/null +++ b/docs/posts/2019-12-04-Google-Teachable-Machines.html @@ -0,0 +1,80 @@ +<!DOCTYPE html> +<html lang="en"> +<head> + + <link rel="stylesheet" href="/assets/main.css" /> + <link rel="stylesheet" href="/assets/sakura.css" /> + <meta charset="utf-8"> + <meta name="viewport" content="width=device-width, initial-scale=1.0"> + <title>Hey - Post</title> + +</head> +<body> + <nav style="display: block;"> +| +<a href="/">home</a> | +<a href="/about/">about/links</a> | +<a href="/posts/">posts</a> | +<a href="/publications/">publications</a> | +<a href="/repo/">iOS repo</a> | +<a href="/feed.rss">RSS Feed</a> | +</nav> + +<main> + <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> + +</main> + + +<script src="assets/manup.min.js"></script> +<script src="/pwabuilder-sw-register.js"></script> +</body> +</html>
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