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