I have a question about CV’s performance in relation to user-supplied IDs. This is related to the research I am doing on a pair of near-cryptic moth species, discussed at length here: https://forum.inaturalist.org/t/comparing-cv-outcomes-in-a-pair-of-near-cryptic-moth-species/56793 Is the followi…

I don’t think this is a correct statement but I don’t have insider knowledge, just want to follow any replies.

performance? CV will give you a different answer, depending on whether it is … Unknown somewhere Or a broad ID to start with Or a location specified Or broad ID plus location But that is not what you mean by CV performance? I suppose the basic underlying CV suggestion is ‘not affected’ but it…

Not a programmer, but my understanding is that the training is separate from what happens during the process of IDing observations – i.e., the CV can be accessed to provide a list of suggestions for an observation, but the suggested IDs are not permanently stored in connection with the observation. …

[image] DianaStuder: CV will give you a different answer, depending Thanks for helping me focus my question, Diana. So presuming for argument’s sake that an observation lacks a location, will the initial ID by the OP (whether Unknown, LIfe, or anything down to species) influence what CV will…

[image] gcwarbler: I believe the answer to both of these examples is “No”–or at least those subsequent ID’s shouldn’t influence the next CV suggestion for that observation. Whether or not an observation has geolocation, CV should be ignoring user or community suggested IDs in the Upload and sugg…

[image] tristanmcknight: I don’t believe this is entirely accurate. My understanding was that IDs on an observation do help filter at least to kingdom, though perhaps not lower. Correct. As I understand it, when browsing on the observation’s page, the CV is restricted only to suggestions with…

[image] gcwarbler: When an ID is solicited from CV, CV should be ignoring any IDs of that observation. Correct? For example a beetle on a flower. CV will probably ‘see’ the beetle If I ID as Flower, CV will see flower. CV does not ignore my flower ID. And if ‘John says that little beetle i…

[image] gcwarbler: To the question about CV training, those sessions are explicitly based on RG observations chosen at random. I believe RG is given priority, but observations do not have to be RG in order to be used for the CV training. [image] gcwarbler: Is that CV training influenced …

[image] gcwarbler: the performance of CV both in training sessions and in suggested identifications at Upload is not affected by identifications offered by the original observer @ wildskyflower describes the three different ways to engage the CV. The “at upload” part of the question is uncle…

These examples and the other information offered here help me understand CV behavior. And, yes, Russell, I was primarily thinking of subsequent CV suggestions after an observation has one or more OP- or community-supplied IDs. I now understand that functionality. I’m actually doing some research …

Question about characterizing Computer Vision

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Question about characterizing Computer Vision

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