I’ve got a quick question for everyone. Does anyone know how the percentages for the AI work on the new Inat app? They show up before an observation like (98.4%) and list many species. They seem frivolous and randomly generated.

Maybe it’s less confusing if we think about how CV (computer vision) selects its suggestions. As I understand it (and maybe with some gross simplifications), iNat submits one photo via the API, which is scored against the pre-built identification model. The model returns a ranked list of up to 10 w…

why would they be randomly generated?

isn’t this just a numerical display of what used to be that five-dot visualization? it’s the same measure, some sort of quantification of certainty. I certainly couldn’t tell you how it works since it’s basically a machine-learning program (not my expertise at all) but I had the same question as abo…

Updated the title to “percentages”

[image] yayemaster: They show up before an observation like (98.4%) and list many species. screenshot, please

The numbers appear to be pulled from a RNG with higher odds near 100% I used ten random observations of plants and got (99.7, 90.9, 69.6, 99.2, 99.8, 89.1, 99.8, 99.8, 98.2, 72.1, 94.6). The 89.1% happened to be incorrect, while one of the 99.8%(a Venus flytrap with no other species in photo) doesn…

[IMG_7900] In this example this Trillium erectum is given a 29.9% chance of being correct while the genus is 84.2% likely(exactly 1 standard deviation away).

for any given observation the entire list of computer vision suggestions at a species level (not always returned if they are below some threshold) will add up to 100%. the higher-than-species suggestion is a sum of all the descendant species-level suggestions. in this case, if you add the numbers f…

I am aware of that, I would like to know where the percentages come from. Like how does the AI get 84.2% confidence and not 100% or a range.

it’s a visual match score, weighted by a geomodel score and normalized back to 1.0 across all scores. you’re unlikely to ever get 100% on any given species because there will always be other species that have similar features. (since the total must always add up to 100%, you, you’re going to almost…

Thanks! I hope there’s a way that the percentages could be shown on the website as well for identifying.

Iphone app AI percentages

General

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Feature parity request: AI match percentage / confidence score for Android app General	5	125	June 6, 2026
Computer Vision should tell us how sure it is of its suggestions Feature Requests web , mobile-app	62	7383	October 11, 2024
CV confidence on website? General	3	236	January 14, 2026
Log computer vision taxon guesses Feature Requests computer-vision	12	1117	September 15, 2023
Identification Quality On iNaturalist General	19	8410	November 17, 2019

Iphone app AI percentages

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