Art as Data Set, Data Set as Art: Training machine vision systems to see as artists
نویسندگان
چکیده
The process of an artist ’speaking’ to audience by illustrating meaning underlying a body work on subject is commonplace within contemporary art. In the age mechanical reproduction artists can quickly and simply assemble collate coherent sets visual materials as means non-verbal investigation. world technical images (Flusser 2011) in photograph or technically produced image buried beneath surface. Artists often bodies work, collections related multiples, sometimes style essay. This allows illustrate, through type repetition focus observation, that which important pattern things audience. assists see ‘what relates what’ between items visual, semantic cognitive way. collation relation pattern, similarity, defining unspoken with exemplar also foundation how computer vision systems classify ‘understand’ world. classification comes from human ’trainers’ assembling data ascribing ontological this paper I describe creating set for machine learning photographic collection. The collected part larger artwork. text explain dataset extension artwork it’s own right. As datasets used training are commonly centrally generated commercial/industrial processes argue idea /dataset beginning taking control surveillance, teaching not just surveillance capital commercial hegemony sees but see. creation artist’s art itself intervention work. We proposing evolution arguments originating industrial revolution seizing production. Now society capitalism ‘Seizing surveillance’.
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ژورنال
عنوان ژورنال: BCS Learning & Development
سال: 2021
ISSN: ['1477-9358']
DOI: https://doi.org/10.14236/ewic/eva2021.37