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The ArtBench Dataset: Benchmarking Generative Models with Artworks. (arXiv:2206.11404v1 [cs.CV])
Web: http://arxiv.org/abs/2206.11404
June 24, 2022, 1:12 a.m. | Peiyuan Liao, Xiuyu Li, Xihui Liu, Kurt Keutzer
cs.CV updates on arXiv.org arxiv.org
We introduce ArtBench-10, the first class-balanced, high-quality, cleanly
annotated, and standardized dataset for benchmarking artwork generation. It
comprises 60,000 images of artwork from 10 distinctive artistic styles, with
5,000 training images and 1,000 testing images per style. ArtBench-10 has
several advantages over previous artwork datasets. Firstly, it is
class-balanced while most previous artwork datasets suffer from the long tail
class distributions. Secondly, the images are of high quality with clean
annotations. Thirdly, ArtBench-10 is created with standardized data collection,
annotation, …
More from arxiv.org / cs.CV updates on arXiv.org
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