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+---
+date: 2019-12-04 18:23
+description: Tutorial on creating a custom image classifier quickly with Google Teachable Machines
+tags: Tutorial
+---
+
+# Image Classifier With Teachable Machines
+
+Made for Google Code-In
+
+**Task Description**
+
+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
+
+### Details
+
+1) Collecting Data
+
+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
+
+![](/assets/gciTales/01-teachableMachines/01-collect.png)
+
+2) Training
+
+Training on teachable machines is as simple as clicking the train button. I did not even have to modify any configurations.
+
+![](/assets/gciTales/01-teachableMachines/02-train.png)
+
+3) Finding Labels
+
+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.
+
+![](/assets/gciTales/01-teachableMachines/03-label.png)
+
+![](/assets/gciTales/01-teachableMachines/04-alert.png)
+
+4) Adding a suggestions function
+
+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%
+
+![](/assets/gciTales/01-teachableMachines/05-html.png)
+
+![](/assets/gciTales/01-teachableMachines/06-js.png)
+
+5) Running!
+
+Here it is running!
+
+![](/assets/gciTales/01-teachableMachines/07-eg.png)
+
+![](/assets/gciTales/01-teachableMachines/08-eg.png)
+
+
+Remix this project:-
+
+https://luminous-opinion.glitch.me