A Dataset for the Recognition of Historical and Handwritten Music Scores in Western Notation
Researchers have introduced the MusiCorpus dataset, a new collection of over 1,300 pages of historical and handwritten music scores. This dataset is designed to advance Optical Music Recognition (OMR) by providing a large-scale, realistic training set for deep learning models. It includes MusicXML transcriptions and symbol annotations, aiming to make digitized musical heritage machine-readable. AI
IMPACT Enables AI to better transcribe and understand historical musical scores, preserving cultural heritage.