all AI news
PBSCSR: The Piano Bootleg Score Composer Style Recognition Dataset. (arXiv:2401.16803v1 [cs.SD])
cs.LG updates on arXiv.org arxiv.org
This article motivates, describes, and presents the PBSCSR dataset for
studying composer style recognition of piano sheet music. Our overarching goal
was to create a dataset for studying composer style recognition that is "as
accessible as MNIST and as challenging as ImageNet." To achieve this goal, we
sample fixed-length bootleg score fragments from piano sheet music images on
IMSLP. The dataset itself contains 40,000 62x64 bootleg score images for a
9-way classification task, 100,000 62x64 bootleg score images for a …
article arxiv cs.sd dataset imagenet mnist music recognition sample studying style