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BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
[article]
2017
arXiv
pre-print
Computer vision systems are designed to work well within the context of everyday photography. However, artists often render the world around them in ways that do not resemble photographs. Artwork produced by people is not constrained to mimic the physical world, making it more challenging for machines to recognize. This work is a step toward teaching machines how to categorize images in ways that are valuable to humans. First, we collect a large-scale dataset of contemporary artwork from
arXiv:1704.08614v2
fatcat:vgjcnt7tyrhcvdsfctwvyyvvzu