With Matematica 11, new features are available in the field of machine learning

What it does

Starting with a sample input dog image, it finds the closest dog race and shows you the results in a TabView format

How I built it

Using the new function FeatureExtract and a couple of UI elements

Challenges I ran into

The ability to obtain reasonable results with a limited classifier database (10 dog races, 10 images for each race only)

Accomplishments that I'm proud of

If you test with a dog whose race is in the database, the results are pretty good.

What I learned

How to start with machine learning with Wolfram Language in half a day.

What's next for Dog Image Recognition using Wolfram Language

Extend the database, perform statistic analyses like clusterization, and deploy a mobile app.

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