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 >
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