I forwarded this separately to internally at WMF a few days ago. Clearly – before thinking of building workflows for human contributors to generate captions or rich descriptors of media files in Commons – we should look at what's available in terms of off-the-shelf machine learning services and libraries.
#1 rule of sane citizen science/crowdsourcing projects: don't ask humans to perform tedious tasks machines are pretty good at, get humans to curate inputs and outputs of machines instead. D On Mon, Sep 26, 2016 at 5:55 PM, Pine W <[email protected]> wrote: > Perhaps of interest: "...We’re making the latest version of our image > captioning system available as an open source model in TensorFlow." > https://research.googleblog.com/2016/09/show-and-tell- > image-captioning-open.html > > Pine > > _______________________________________________ > Wiki-research-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > -- *Dario Taraborelli *Head of Research, Wikimedia Foundation wikimediafoundation.org • nitens.org • @readermeter <http://twitter.com/readermeter>
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