
This repository contains the dataset of more than 198.000 small images extracted from handwritten music scores of the Archivio Storico Ricordi and organized for optical music recognition (OMR) research. The images are categorized in 11 classes (multiclass task) or 2 classes (binary task). In the download there is also the code used for annotating and analyzing the dataset, as well as the model weights resulting from training. Additional information is available in the paper (under review). Cite us Simonetta F., Mondal R., Ludovico L. A., Ntalampiras S. "Optical Music Recognition in Manuscripts from the Ricordi Archive", AudioMostly 2024, Milan, Italy. DOI: https://doi.org/10.1145/3678299.3678324
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
