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I use the flowerchecker app http://www.flowerchecker.com/ where you have to pay a small fee per plant identification. It actually uses real human biologists to identify the plant.
You mean college students?
Earlier quoted context omitted.
I don't know if the mention was intentional or not, but Goggles is actually dead as a product. They removed it from the iOS app, and the android app is not supported, while staying in the store. In this respect, as the GP says, image search is currently the best option
Goggles (the concept) isn't dead. They moved the functionality into Google Assistant so you didn't need the app. Just hold down the home button so it takes a picture of the camera view.
Earlier quoted context omitted.
I don't know if the mention was intentional or not, but Goggles is actually dead as a product. They removed it from the iOS app, and the android app is not supported, while staying in the store. In this respect, as the GP says, image search is currently the best option
Goggles (the concept) isn't dead. They moved the functionality into Google Assistant so you didn't need the app. Just hold down the home button so it takes a picture of the camera view.
It works ok, send pretty beta right now. I pointed my camera at a business card and pressed the home button. Google Assistant appeared and I asked it to tell me about what was on my screen. It noticed one piece of the address, and brought up a listing for that general area, but there was no way to further inquire into any of the rest of the card.
I did this for common plant diseases using Tensorflow on Android when learning how to use TF last year. Found the accuracy to be not that great with real world images that are not in the dataset (with a dataset of 50,000 images from PlantVillage). I think there are just too many visual similarities between various plants (especially when taken from various angles) that the network doesn't focus on the right things. D…
Not an expert -- would this be a result of training data doing a much better job isolating the subject vs a real world photo that may have other plants in the scene? Not that this is a solution in all cases, but is it possible your results would have improved with better real world pictures?
This is, of course, a critical challenge in data science and is definitely not a trivial one to solve.
I use the flowerchecker app http://www.flowerchecker.com/ where you have to pay a small fee per plant identification. It actually uses real human biologists to identify the plant.
You mean college students?
"An expert in or student of the branch of science concerning living organisms."
I trained my kids, first for mushrooms, then for flowers and trees. They are better then any app :). But definitely would love to have an app to confirm our findings sometimes.
I use the flowerchecker app http://www.flowerchecker.com/ where you have to pay a small fee per plant identification. It actually uses real human biologists to identify the plant.