11–20 of 117 posts
We also gave the image regocnition path a thought but it seemed to be quite a tall order. Hopefully they come up with a novel approach on this!
I can immediately think of all kinds of challenges that are really hard to overcome: diseased leaves, different seasons, plus all the usual glare/shading/background issues.
I really want this app. That is all.
We did this http://www.luontoportti.com/suomi/en/ a couple of years ago. It is based on an elimination process – you describe what you see and the application narrows down on the options. Works very well in practice, and can be applied to all sorts of indentification purposes in the wild, such as fish, birds and butterflies. We also gave the image regocnition path a thought but it seemed to be quite a tall order. Hop…
I've looked for an app like that for years, seems yours is, thanks!
We did this http://www.luontoportti.com/suomi/en/ a couple of years ago. It is based on an elimination process – you describe what you see and the application narrows down on the options. Works very well in practice, and can be applied to all sorts of indentification purposes in the wild, such as fish, birds and butterflies. We also gave the image regocnition path a thought but it seemed to be quite a tall order. Hop…
Botantical classification is interesting but difficult. Once trained, it's fast enough, but can "deep learning" be anywhere near accurate enough? I'd guess there'd be a focus on salient botantical features for classification, and perhaps the human can be enlisted to circle them out. There could be a "twenty questions"-type narrowing down, perhaps using images.