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diff --git a/Content/posts/2019-12-04-Google-Teachable-Machines.md b/Content/posts/2019-12-04-Google-Teachable-Machines.md new file mode 100644 index 0000000..84ff1b9 --- /dev/null +++ b/Content/posts/2019-12-04-Google-Teachable-Machines.md @@ -0,0 +1,56 @@ +--- +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 + + + +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 |