Two Journeys: Insights on the Annotation of Large-Scale Optical Music Recognition Datasets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511665" target="_blank" >RIV/00216208:11320/25:10511665 - isvavai.cz</a>

Result on the web

<a href="https://zenodo.org/records/17498017" target="_blank" >https://zenodo.org/records/17498017</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5281/zenodo.17498017" target="_blank" >10.5281/zenodo.17498017</a>

Result language

angličtina

Original language name

Two Journeys: Insights on the Annotation of Large-Scale Optical Music Recognition Datasets

Original language description

The use of Optical Music Recognition (OMR) requires annotated music scores (ground truth) for training or adaptation. Besides the level of structured encoding, a significant part of the existing OMR methods still needs ground truth also at image level, which is indeed still important for tasks adjacent to OMR. However, annotating images is a major part of OMR project costs: not just the work of the annotators themselves but also associated software development and process management. Unlike most other more prevalent image annotation tasks in industry, in the case of music notation, infrastructure is lacking, and many pitfalls exist. Thus, in this paper, we report on the combined experience of two ongoing OMR projects with major data collection and annotation efforts, and we formulate recommendations for managing music notation annotation projects, leading to efficient use of the inevitably limited resources.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 17th International Symposium on Computer Music Multidisciplinary Research

ISBN

979-10-97498-06-1

ISSN

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e-ISSN

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Number of pages

15

Pages from-to

608-622

Publisher name

The Laboratory PRISM “Perception, Representations, Image, Sound, Music”

Place of publication

Marseille, France

Event location

London, UK

Event date

Nov 3, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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