I am doing something new with my inaturalist observations. For species that are not yet covered by computer vision due to too few observations, I do large numbers of observations in the hopes that I can get the species over the threshhold. The problem is I don’t really know the threshhold. It used to be “20 research grade observations by 20 individuals”, but was more recently changed to “100 photos of which at least 50 are research grade” (not an exact quote). The previous criteria seemed clear, but the new criteria explantion seems likely to be imprecise. If taken literally, it seems to indicate that someone could take 100 photos of a single specimen and if that observation is research grade, it’s accepted for computer vision. I can’t believe this is true. Also that statement seems to indicate that non-research grade observations are used for training, which seems really bad, but I suspect that isn’t true.
Can someone provide a very clear explanation of the criteria used for inclusion of a species in computer vision?
Also, I’ve noticed that some species that should be covered according to the most conservative interpretation of the new criteria aren’t. The distinctive kermes scale moth had 100 research grade observations 2.5 months ago (184 now), but still isn’t covered. How often is training done? Why isn’t training done immediately after the threshhold is met?