The new Create ML app just announced at WWDC 2019, is an incredibly easy way to train your own personalized machine learning models. All that’s required is dragging a folder containing your training data into the tool and Create ML does the rest of the heavy lifting.

So how do we prepare our data?

When doing image or sound classification we just need to organize the data into folders, but if we want to do object detection the task becomes a bit more complicated. With object detection, we need to specify some additional information.

Image for post
Image for post

In addition to our images, we need an annotations.json with the coordinates of where the objects are. The annotations need to match the following…

About

Nick Bourdakos

Computer vision addict at IBM Watson

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