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Idea Books
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Visual datasets are large collections of images typically created by researchers to develop machine vision algorithms. These curated sets of digital photographs and videos have become an object of interest and concern for artists, thinkers, and cultural institutions. This book investigates the development and impact of visual datasets from the perspective of machine learning while exploring their artistic possibilities in contemporary image culture. It includes perspectives from artists, computer scientists, curators, and researchers in which historical surveys and specific case studies are joined with experimental artistic practices in a critical mapping.
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