For our task, we require a collection of labeled photos of fruits. As you may recall from Chapter 1, Introduction to Machine Learning, this type of machine learning problem is known as supervised learning. We need our model to take in an image and return the label of what it thinks the image is, also known as multi-class classification.
Go ahead and collect photos of fruits. Create ML allows for multiple ways of organizing your data, but I find that ad hoc collection is easiest done by organizing it in folders, as shown here:
Source: http://www.image-net.org/
Here, we have organized our data into folders, where the folder ...
