Image Classifier With Teachable Machines

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Made for Google Code-In

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Task Description

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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

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Details

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1) Collecting Data

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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

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2) Training

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Training on teachable machines is as simple as clicking the train button. I did not even have to modify any configurations.

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3) Finding Labels

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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.

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4) Adding a suggestions function

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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%

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5) Running!

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Here it is running!

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Remix this project:-

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https://luminous-opinion.glitch.me

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