@alex I would also like to know whether and how photos are prioritized for selection; if a species has, say, 1000 RG observations, 1000 needs ID observations, and 1000 casual-but-verifiable-if-not-captive observations, do I need to worry about reviewing for mis-IDs in the casual pool to prevent them making up 1/3 of the CV training set? In some cases, almost 100% of the captive observations are mis-IDs, for example if the users have been ID’ing some random garden plant in Europe as a wild North American plant and a user comes by and marks all of those ‘captive’ without also kicking them out of the species.