indicating that in fact a large amount of raw such classes detected with computer vision vary significantly but, more importantly, that the noise reduction algorithm is able to detect and correct such results. This is even more pronounced during the second stage (step d in SI Fig. ), where the total number of families is seen to reduce over typically 90%, resulting in 20 to 40 families per year.