Psst - New Vision Model Released!

Not training!! But suggestions, analysig… but after training in the observation. Currently i thought it is using the first photo of an observation for the suggestions and skips all other photos.
I could not find it but it seemed i missed several posts on CV, AI training.

Are there more tips on the way CV, AI works (Cropping can definitely improve results.)

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https://www.inaturalist.org/pages/help#cv-taxa
https://www.inaturalist.org/pages/help#computer-vision
https://www.inaturalist.org/pages/help#cv-select
https://www.inaturalist.org/blog/31806-a-new-vision-model
FWIW, there’s also discussion and some additional charts at
https://forum.inaturalist.org/t/psst-new-vision-model-released/10854/11
https://www.inaturalist.org/pages/identification_quality_experiment
https://www.inaturalist.org/journal/loarie/10016-identification-quality-experiment-update
https://www.inaturalist.org/journal/loarie/9260-identification-quality-experiment-update
about a rare species, but the system might still recommend one based on nearby observation
https://forum.inaturalist.org/t/identification-quality-on-inaturalist/7507
https://github.com/kueda/inaturalist-identification-quality-experiment/blob/master/identification-quality-experiment.ipynb
“nearby” means near in space and time
The model became more efficient in sedges and grasse
the vision model does not itself incorporate non-image data other than taxon IDs
b/c because
https://www.inaturalist.org/blog/25510-vision-model-updates (“taxon and region comparisons” 20190614)
https://distill.pub/2020/circuits/zoom-in/ (“connections between neurons”)
https://www.inaturalist.org/projects/flora-of-russia/journal/31726
https://www.inaturalist.org/posts/31726-
https://forum.inaturalist.org/t/provide-relevant-geographic-data-confidence-level-accuracy-scores-with-ai-suggestions/9226/2
https://forum.inaturalist.org/t/range-covered-by-the-seen-nearby-feature/2849/5


https://www.inaturalist.org/computer_vision_demo
http://www.vision.caltech.edu/publications/publications.html
http://www.vision.caltech.edu/archive.html
https://vision.cornell.edu/se3/
https://vision.cornell.edu/se3/publications/
https://merlin.allaboutbirds.org/
https://merlin.allaboutbirds.org/
https://sites.google.com/visipedia.org/index/publications

https://forum.inaturalist.org/t/use-computer-vision-to-annotate-observations/3331
https://forum.inaturalist.org/t/what-image-s-are-used-for-training-computer-vision/3307/6

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