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To solve that problem you have to train your classifier with slightly less positive samples than you actually have.

So, if you generated a .vec file (with the createsamples.exe utility) with, lets say, 500 positive samples, you must call haartraining.exe with input parameter -npos 450 (for example).

Don't ask me why this is the case.

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To solve that problem you have to train your classifier with slightly less positive samples than you actually have.

So, if you generated a .vec file (with the createsamples.exe utility) with, lets say, 500 positive samples, you must call haartraining.exe with input parameter -npos 450 (for example).

Don't ask me why this is the case.