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Is There a Difference Between Synthetic and Real Data?
Data augmentation is a nice way of reusing your real data and creating new data that has learning value. You can induce chromatic aberration, so change and shifts in RGB. And you can also warp those images so that they look different in terms of perspective. Now, the challenge at some point is you can do all those fancy things on top, but you always need to validate that they are representative of the real data.