[scikit-image] Determine different grass percentage

[K.-Michael Aye]

On Nov 13, 2017, 14:57 -0700, Stefan van der Walt <stefanv at berkeley.edu>, wrote:
> On Sun, Nov 12, 2017, at 23:18, Dzung Nguyen wrote:
> > How about labeling manually a dataset for training, then let machine learning do the rest (of course local binary pattern could be used as feature)?
>
> You will definitely need some ground truth data; both for training, and for evaluating any system you come up with.
>

Alternatively, if you are sure you/the human visual cortex can correctly identify it, then you could create your training data set (i.e. the labels) using a Citizen Science project. zooniverse.org has a relatively easy process for setting up a new project.

Michael


> Stéfan
>
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