I am a fairly new user to iNaturalist. I am interested in the efficacy of the Computer Vision in comparison to user comment identifications and my identifications for the same specimens. I have a couple outstanding questions about Computer Vision that I have had a difficult time tracking down.
First, are suggested identifications for a photograph ranked in any particular order? For example, if I post a photo of a lizard and I receive 5 suggested species identifications (from computer vision), is the first identification (identification suggested at the top) the most likely identification? Alternatively, are all five of the suggested identifications similarly/equally accurate? I do understand that the algorithm suggestions do not necessarily correspond to accurate identifications.
Second, when combing multiple photos for a single observation (e.g., 3 photos of the same lizard), how does this impact the algorithm’s suggested identifications? If suggested identification ranking matters (from the first paragraph), then does the algorithm combine suggested identifications from each of the 3 lizard photos for suggested identifications? Alternatively, do I just receive suggested identifications from the first of the 3 lizard images?
Thanks in advance. Please let me know if I can clarify. I have searched for these answers somewhat substantially, but I may not be aware of iNat lingo for optimal searching.