cascade training negative dataset

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Hello,we all know when training a cascaded classifier your negative dataset shouldn't contain the object which you are trying to detect.My question is;what if a single image that contains your object gets overlooked and inserted into the negative dataset?How bad it would distort the final strong classifier?