I read recently that the autosuggest for species/genus kicks in after 100 research grade observations.
I’ve been told a few times that I include too many images in my observations and I need to edit them better. Theres a range of issues connected to this for me (and I accept that I do need to work on my editing skills) …
But solely in relation to the AI, is there benefit to having a large range of angles and photos in observations to feed more data into the AI? I am presuming that to some extent, the more data the better, but I would like to know if this is misplaced.
Are 50 observations with 2 photos similar/better/worse than 100 observations with 1 photo in terms of training data?
Alternatively is this a bad thing, as it potentially clogs the system up with more photos/more load than necessary…putting pressure on the infrastructure? and I should be wary of how many I upload in this respect also…
My guess is that this is just a question of maintaining a reasonable balance to account for both ends of the spectrum. But would like to know for sure.