To explain my question more clearly, when I use data augmentation parameters for deep learning samples (e.g. crop, brightness, zoom) is each parameter applied to a different sample each time, or are several parameters applied at the same time? For example, if I have 100 samples and I choose Crop, Brightness and Zoom, does it create 100 extra samples where all three augmentation parameters have been applied at once? Or doe sit create 300 extra samples, where 100 has had crop applied, 100 had brightness modified and 100 had zoom applied?
Thanks is advance for any help!
