Is this similar to Mechanical Turk (crowdsourcing), but for scientific purpose?
On Mon, Nov 13, 2017 at 4:06 PM, K.-Michael Aye <kmichael....@gmail.com> wrote: > > On Nov 13, 2017, 14:57 -0700, Stefan van der Walt <stef...@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 > > > _______________________________________________ > scikit-image mailing list > scikit-image@python.org > https://mail.python.org/mailman/listinfo/scikit-image > > -- *Dzung Nguyen* PhD Student Electrical Engineering and Computer Science, Northwestern University, IL, USA http://users.eecs.northwestern.edu/~dtn419/
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