> BirdNET is an artificial neural network that identifies bird species by sound.
A while ago there was an HN thread raving about how Seek by iNaturalist was fun (true!) and did such a good job of identifying whatever it was you were looking at (maybe!) and not overstepping the bounds of what it could know for sure. (See below!)
So I set up an account and I tried it out.
It's pretty clear that Seek places far more weight on giving you a full species-level identification than it does on whether it can be confident that that identification is correct. I guess it's possible that the stand of groundcover I found on the shore of an artificial lake in a public park is a different species from the stand of groundcover with identical coloration and shape about 12 inches away... but I doubt it. Even if they were different species, I'm pretty sure my low-resolution images of two stands of plants with no flowers or seeds wouldn't be enough for an expert to tell them apart.
In a parallel occurrence, I took a photo of a local beetle that Seek identified as "Strawberry seed beetle", harpalus rufipes. I uploaded that to iNaturalist proper (labeled "beetles"; I already didn't trust the identification) and checked out some nearby photos. A very similar-looking beetle had been photographed in my area and identified as harpalus sinicus. So I left a comment asking how the tagger could tell that this was sinicus and not some other kind of harpalus. And I got a response, saying "I'm not trained in entomology and I couldn't explain what the difference is. But me and my friend think this is sinicus."
I harbor a sneeking suspicion that the "friend" was Seek.
They advertise that Seek is trained on labels from iNaturalist. But those labels appear to be generated in large part by Seek. Something needs to change.