Dataset after preprocessing and augmentation

Hi, i want to know how my dataset process after preprocessing and augmentation. I have 150 images and after preprocessing and augmentation it became 2736. I want to know how it works to get 2736. attached are the preprocessing and augmentation steps. Really appreciate if someone can explain to me.

Image augmentation are manipulations applied to images to create different versions of similar content in order to expose the model to a wider array of training examples. The more augmentations you add, the more total images you will have in your dataset to help your model train under.

Here is a blog post for more information

Additionally, on the final step of the “Generate New Version” flow, you can click “See how this is calculated” to see a breakdown like this for your current dataset:

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