Omr Datasets: Curated Collection for Optical Music Recognition

This repository aggregates multiple datasets specialized for Optical Music Recognition (OMR), curated by user apacha and updated through April 2024. It provides a centralized resource for music scores and annotations used in Music Information Retrieval (MIR) research.

Use Cases

• Training neural networks to detect musical symbols within score images
• Evaluating the accuracy of image-to-MusicXML transcription pipelines
• Benchmarking layout analysis algorithms on complex sheet music structures

Strengths

• Aggregates multiple specialized OMR datasets in a single repository
• Updated as recently as April 2024
• Released under the permissive MIT license

Limitations

• Specific record counts and file formats are not detailed in the metadata
• Potential for inconsistent annotation formats across different aggregated sources

Provenance

Source

apacha (GitHub)

Collection Method

Aggregation of existing OMR datasets

Freshness

Last updated April 2024.