Using Google’s Teachable Machine, configure and train a model that makes the distinction between midsize sedans (cars like Toyota Camry, Honda Accord, Chevy Malibu, Ford Fusion) and pick-up trucks (cars like Ford F-150, Chevy Silverado, Toyota Tacoma, Honda Ridgeline)

Use pictures from the web.

Make screen captures with at least 5 test cases and your results and email them to your teacher or turn them in via Google Class.

Give an example of a real world application where people can use such a model with a powerful impact on their daily activities? Hint: think law enforcement.

Analyze your classifier that you built for problem #5

a) How many images of midsize sedans did you input?

b) How many images of pick-up trucks did you input?

c) Make a table and record the confidence of each prediction on different kinds of test data (use different pictures for sedans and pick-up trucks test data = none of the existing pictures offered as input). Run 10 different test cases.

[download the full resource to see the balance of it]