Is this similar to Mechanical Turk (crowdsourcing), but for scientific purpose? On Mon, Nov 13, 2017 at 4:06 PM, K.-Michael Aye wrote:

On Nov 13, 2017, 14:57 -0700, Stefan van der Walt , 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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