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 70 pages of music scores with annotations for the task of detecting or rejecting the correct accidental for a given note head.
There are three classes of accidentals: natural (968 examples), sharp(777 examples) and flat (242 examples) with an additional reject class (968 examples).
The format of annotation is described in the csv files.

This dataset can be used freely for research purpose. However, any published work using it should refer to: [in review proces]


Download the data set as a tar.gz file