Communication Dans Un Congrès Année : 2026

The CollabScore Dataset -Towards Robust and Generalized OMR Evaluation

Résumé

We present in this paper the CollabScore dataset, initially built to test and validate a new Optical Music Recognition (OMR) system. This dataset includes 200 pages of scores from an homogeneous corpus which consists in various works from a single composer, Camille Saint-Saëns (1835-1921). In addition to the essential data, namely images and reference scores encoded in MEI, we describe an original approach to content referencing based on the IIIF standard, and we discuss some general principles to conduct OMR evaluation in the proposed framework, including the tuning of comparison metrics.

Fichier principal
Vignette du fichier
DLFM_2026.pdf (9.15 Mo) Télécharger le fichier

Dates et versions

hal-05515751 , version 1 (17-02-2026)
hal-05515751 , version 2 (14-04-2026)

Licence

Identifiants

Citer

Philippe Rigaux, Bertrand Coüasnon, Christophe Guillotel-Nothmann, Fabien Guilloux, Aurélie Lemaitre. The CollabScore Dataset -Towards Robust and Generalized OMR Evaluation. 13th International Conference on Digital Libraries for Musicology (DLfM 2026), Jul 2026, Thessalonique, Greece. ⟨10.1145/3815723.3815725⟩. ⟨hal-05515751v2⟩
214 Consultations
182 Téléchargements

Altmetric

Partager

  • More