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A Microsoft researcher has created software for identifying flower species:
The project came about after random cross-pollination between Microsoft Research Asia chief researcher Yong Rui and botanists at the Chinese Academy of Sciences. Rui told the academics Redmond could use image-matching to help the botanists identify the spread of flowers throughout China, albeit with some pruning of its vast image banks.
Microsoft Research Asia senior research program manager Guobin Wu says a 20-layer deep convolutional neural network was cultivated alongside learnable filters to identify slight variations between flowers. "During the forward pass, each filter is convolved across the width and height of the input volume, computing the dot product between the entries of the filter and the input," Wu says.
Some 800,000 flower snaps were planted into the UC Berkely and open source Caffe deep learning network, leading to an impressive 90 percent species identification accuracy rate.
(Score: 3, Informative) by mcgrew on Tuesday July 26 2016, @07:10PM
Ubergizmo says [ubergizmo.com] "The app doesn’t actually exist yet, but if and when they do release this engine, perhaps botany hobbyists might be interested in checking it out." I doubt MS will have versions for Android and Apple, wanting to sell their own OS, and if it is it won't be free. And also you won't be able to use the database to build your own because every one of those photos are copyrighted.
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