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The cascade classifier training doesn't return any confidence score like the latentSVM approach does. However, what you could do is retrieve all found detections and count the amount of overlapping detections. The rule used widely spread is two windows overlapping more than 50% vote for the same detection. This way you can define your own quality measure.
