[scikit-image] Determine different grass percentage

[Dzung Nguyen]

Is this similar to Mechanical Turk (crowdsourcing), but for scientific
purpose?

On Mon, Nov 13, 2017 at 4:06 PM, K.-Michael Aye <kmichael.aye at gmail.com>
wrote:

>
> 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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>


-- 
*Dzung Nguyen*

PhD Student
Electrical Engineering and Computer Science,
Northwestern University, IL, USA
http://users.eecs.northwestern.edu/~dtn419/
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