OMRdatasets List
Accidental detection dataset
This work takes place in the context of the thesis of of Kwon-Young Choi on the subject of resolving segmentation problems in dense and damaged printed piano scores from the 1750 to 1950 period. This data set contains 2955 images with annotations for the task of detecting or rejecting the correct accidental for a given note head.

Apacha music score classification dataset
A python script that trains a model that can learn to distinguish between music scores and arbitrary content. A dataset of 2000 images, containing 1000 images of music scores and 1000 images of other objects including text documents. The images were taken with a smartphone camera from various angles and different lighting conditions.

Audio Content Analytics
Various pieces of music forms including Peking Opera, drum music, and street dance. http://grh.mur.at/sites/default/files/mir_datasets_0.html

Humdrum Polish scores
This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the Chopin Institute in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive. Here is a promotional booklet about the project in Polish and English.

Polish heritage open access
The Open Access project will expand the informational infrastructure in place at The Chopin Institute, which was designed as part of the POPC project ‘Chopin Heritage in Open Access’ (DCOD). The main aim is to broaden the portal to the most important and representative works of Polish music from the 16th to the 19th centuries, allowing searches according to musical elements and metadata.

RISM works
RISM Online, a service from the RISM Digital Center provides access to many musical sources through extensive search and browse functions. Multiple entry points, with extensive Source, Person, and Institution search interfaces, provide users with the ability to quickly narrow down relevant results using several different approaches, including keyword searches, filters, and relationship information.

SEILS dataset
The SEILS dataset is a corpus of scores in lilypond, music XML, MIDI, Finale, **kern, MEI, **mens, agnostic, semantic and pdf formats, in white mensural and modern notation. The SEILS dataset is a corpus of scores in lilypond, music XML, MIDI, Finale, **kern, **mens, MEI, agnostic, semantic, and pdf formats, in white mensural and modern notation.






































