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I am answering it on the basis of my cropping experience of Haartraining for objects which are difficult to crop without keeping considerable amount of background.
If we have more background pixels on positive images in comparison with actual object’s pixels, it’s not good because the background would be learnt too, as a feature of our object. The best way in that case is to fill the background with random noise hence avoiding constant background. This would also avoid learning of the background during Haartraining.
