Computer Vision should tell us how sure it is of its suggestions

Just keep in mind that a number like 75% may give you a relative comparison among a list of choices being offered. But as an absolute, that value is likely to be pretty meaningless, and certainly not comparable between different observations. It all depends on the training images available, relative to that observation image. Until a taxon has 20 high-quality observations, its images are not even in the training pool to be considered (as I understand it).

Put another way, CV may be 75% certain that it’s Astragalus malacus among 40 other Astragalus species for which it has sufficient training data. But what is the percent certainty if it knows that there are also another 1600 Astragalus species in the world that are not even being considered?

Bottom line, CV doesn’t “know what it doesn’t know.”