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diff --git a/posts/2019-12-04-Google-Teachable-Machines/index.html b/posts/2019-12-04-Google-Teachable-Machines/index.html index 63697ed..4513cdb 100644 --- a/posts/2019-12-04-Google-Teachable-Machines/index.html +++ b/posts/2019-12-04-Google-Teachable-Machines/index.html @@ -1 +1 @@ -<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-04-Google-Teachable-Machines"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-04-Google-Teachable-Machines"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-04-Google-Teachable-Machines"/><title>Image Classifier With Teachable Machines | Navan Chauhan</title><meta name="twitter:title" content="Image Classifier With Teachable Machines | Navan Chauhan"/><meta name="og:title" content="Image Classifier With Teachable Machines | Navan Chauhan"/><meta name="description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines"/><meta name="twitter:description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines"/><meta name="og:description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><link rel="shortcut icon" href="/images/favicon.png" type="image/png"/><link rel="alternate" href="/feed.rss" type="application/rss+xml" title="Subscribe to Navan Chauhan"/><meta name="twitter:image" content="https://navanchauhan.github.io/images/logo.png"/><meta name="og:image" content="https://navanchauhan.github.io/images/logo.png"/></head><head><script async src="//gc.zgo.at/count.js" data-goatcounter="https://navanchauhan.goatcounter.com/count"></script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li><li><a href="/feed.rss">RSS</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">2 minute read</span><span class="reading-time">Created on December 4, 2019</span><span class="reading-time">Last modified on September 15, 2020</span><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><ol><li>Collecting Data</li></ol><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><img src="/assets/gciTales/01-teachableMachines/01-collect.png"/><ol start="2"><li>Training</li></ol><p>Training on teachable machines is as simple as clicking the train button. I did not even have to modify any configurations.</p><img src="/assets/gciTales/01-teachableMachines/02-train.png"/><ol start="3"><li>Finding Labels</li></ol><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><img src="/assets/gciTales/01-teachableMachines/03-label.png"/><img src="/assets/gciTales/01-teachableMachines/04-alert.png"/><ol start="4"><li>Adding a suggestions function</li></ol><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><img src="/assets/gciTales/01-teachableMachines/05-html.png"/><img src="/assets/gciTales/01-teachableMachines/06-js.png"/><ol start="5"><li>Running!</li></ol><p>Here it is running!</p><img src="/assets/gciTales/01-teachableMachines/07-eg.png"/><img src="/assets/gciTales/01-teachableMachines/08-eg.png"/><p>Remix this project:-</p><p>https://luminous-opinion.glitch.me</p></div><span>Tagged with: </span><ul class="tag-list"><li><a href="/tags/tutorial">Tutorial</a></li></ul></article></div><footer><p>Made with ❤️ using <a href="https://github.com/johnsundell/publish">Publish</a></p><p><a href="/feed.rss">RSS feed</a></p></footer></body></html>
\ No newline at end of file +<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"/><meta name="og:site_name" content="Navan Chauhan"/><link rel="canonical" href="https://navanchauhan.github.io/posts/2019-12-04-Google-Teachable-Machines"/><meta name="twitter:url" content="https://navanchauhan.github.io/posts/2019-12-04-Google-Teachable-Machines"/><meta name="og:url" content="https://navanchauhan.github.io/posts/2019-12-04-Google-Teachable-Machines"/><title>Image Classifier With Teachable Machines | Navan Chauhan</title><meta name="twitter:title" content="Image Classifier With Teachable Machines | Navan Chauhan"/><meta name="og:title" content="Image Classifier With Teachable Machines | Navan Chauhan"/><meta name="description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines"/><meta name="twitter:description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines"/><meta name="og:description" content="Tutorial on creating a custom image classifier quickly with Google Teachable Machines"/><meta name="twitter:card" content="summary"/><link rel="stylesheet" href="/styles.css" type="text/css"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><link rel="shortcut icon" href="/images/favicon.png" type="image/png"/><link rel="alternate" href="/feed.rss" type="application/rss+xml" title="Subscribe to Navan Chauhan"/><meta name="twitter:image" content="https://navanchauhan.github.io/images/logo.png"/><meta name="og:image" content="https://navanchauhan.github.io/images/logo.png"/></head><head><script async src="//gc.zgo.at/count.js" data-goatcounter="https://navanchauhan.goatcounter.com/count"></script></head><body class="item-page"><header><div class="wrapper"><a class="site-name" href="/">Navan Chauhan</a><nav><ul><li><a href="/about">About Me</a></li><li><a class="selected" href="/posts">Posts</a></li><li><a href="/publications">Publications</a></li><li><a href="/assets/résumé.pdf">Résumé</a></li><li><a href="https://navanchauhan.github.io/repo">Repo</a></li><li><a href="/feed.rss">RSS Feed</a></li></ul></nav></div></header><div class="wrapper"><article><div class="content"><span class="reading-time">2 minute read</span><span class="reading-time">Created on December 4, 2019</span><span class="reading-time">Last modified on September 15, 2020</span><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><ol><li>Collecting Data</li></ol><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><img src="/assets/gciTales/01-teachableMachines/01-collect.png"/><ol start="2"><li>Training</li></ol><p>Training on teachable machines is as simple as clicking the train button. I did not even have to modify any configurations.</p><img src="/assets/gciTales/01-teachableMachines/02-train.png"/><ol start="3"><li>Finding Labels</li></ol><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><img src="/assets/gciTales/01-teachableMachines/03-label.png"/><img src="/assets/gciTales/01-teachableMachines/04-alert.png"/><ol start="4"><li>Adding a suggestions function</li></ol><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><img src="/assets/gciTales/01-teachableMachines/05-html.png"/><img src="/assets/gciTales/01-teachableMachines/06-js.png"/><ol start="5"><li>Running!</li></ol><p>Here it is running!</p><img src="/assets/gciTales/01-teachableMachines/07-eg.png"/><img src="/assets/gciTales/01-teachableMachines/08-eg.png"/><p>Remix this project:-</p><p>https://luminous-opinion.glitch.me</p></div><span>Tagged with: </span><ul class="tag-list"><li><a href="/tags/tutorial">Tutorial</a></li></ul></article></div><footer><p>Made with ❤️ using <a href="https://github.com/johnsundell/publish">Publish</a></p><p><a href="/feed.rss">RSS feed</a></p></footer></body></html>
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