From the course: Machine Learning for iOS Developers
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The data set we work with - iOS Tutorial
From the course: Machine Learning for iOS Developers
The data set we work with
- [Instructor] Very soon, we are going to create our own machine learning model that can distinguish between cats and dogs. To do so, we need to prepare a dataset that we use to train our model, and the dataset that we're going to use, you will find that in your Exercise Files in the Animal Images folder. There you will find images that are already labeled with either cat, in these cases, or dog, and they are enumerated. What we need to do now is to copy all of these images into its own folder in our virtual environment. I've opened up the folder of my virtual environment, machineLearningEnv. In this folder, I'm going to create a new directory or a new folder pressing Cmd + Shift + N on my keyboard and I'm going to call that trainingData. In this folder, I'm going to copy and paste all of my images that you will find in your Animal Images folder in your Exercise Files. This is the dataset that we are going to work with.
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