Image Classifier Example

I've designed an image classifier template for you to use as a learning tool! This is an example of how machine learning can be used in a software-as-a-service context, hopefully it gives you some ideas on how to do something similar. It's a combination of a few components including a Python web API, Flutter mobile app, and FastAI model training script. In this episode, I'll explain the process of building this template and how all the components fit together. Enjoy!

Code for this video:
https://github.com/llSourcell/image_classifier_template

Coding challenge (Due Date: Oct 5 2019 Midnight PST):
1. Build an image classification service
2. Email the relevant link(s) to [email protected]

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Google Dataset Search:
https://toolbox.google.com/datasetsearch

Lots of datasets:
https://github.com/awesomedata/awesome-public-datasets

Imagga:
https://imagga.com/

Firebase:
https://firebase.google.com/

Stripe:
https://stripe.com/

For your reference, the 5 steps I outline are:

Step 1: Find an Image Dataset
Step 2: Transfer Learning
Step 3: Signup for Firebase + Stripe
Step 4: Deploy the Web App
Step 5: Build the Mobile App

More detailed descriptions are in the github repository above.
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Are you a total beginner to machine learning? Watch this:
https://www.youtube.com/watch?v=Cr6VqTRO1v0&t=36s

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https://www.youtube.com/watch?v=NzmoPqte4V4

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