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.