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
2) Training
Training on teachable machines is as simple as clicking the train button. I did not even have to modify any configurations.
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.
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%
5) Running!
Here it is running!
Remix this project:-
https://luminous-opinion.glitch.me