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OMR Datasets
Datasets are used for training model and testing. It is the food for model building. Good datasets with paird notation with high faithfulness is expensive. Correct and annotated datasets are resource heavy and expensive. Inspired by OMR datasets by Apache. (Dynamic list)
Maintained by: Alina Liu
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.
Apacha printed music symbols dataset
This repository contains a set of about 200 printed music symbols of 36 different classes with and without context.
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
Byrd dataset
A small dataset of 34 high quality images with individual music score pages of increasing difficulty.
CMME datasets
Mensural notation is the European system of measured musical rhythm and note shapes used from the mid-13th century until around 1600. Mensural music database and study project
Capitan collection
A corpus collected by an electronic pen while tracing isolated music symbols from Early manuscripts.
DRM resource
Digital resource for musicology have manuscripts, databases, and many large archives from different countries.
DoReMe
Part of Dorico project, most pictures are one line long and one staff long. File in png format
GrandStaff
Music segments from Beethoven, Chopin, Hummel, Juplin, Mozart, and Scarlatti. From the paper Sheet Music Transformer.
Henle Verlag searchable
A searchable list of music pieces by degree of difficulty of various instruments, including piano solo, violin, clarinet, and flute.
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.
IMSLP Petrucci music library
Petrucci music library. Contains 280571 works, 27853 composes. Share the worlds public domain music. Difficulty arrangement.
ISMIR Conf datasets
Collection of 300 datasets from ISMIR conference. International society for music information retrieval.
International audio lab Erlangen
Tools for semi automatic bounding box annotation of musical measures
Josquin project Stanford
The Josquin Research Project (JRP) changes what it means to engage with Renaissance music.
MSMD Multimodal
MSMD is a synthetic dataset of 497 pieces of (classical) music that contains both audio and score representations of the pieces aligned at a fine-grained level. Music of Bach, Chopin, Froberger, and others in full page (typically 1) in pdf format.
Musicnotes
Sheet music arranged by instruments and difficulties, similar to piano street, musescore, henle, and IMSLP.
OMR datasets
A collection of collections made by Apacha. Some items are out of date. A collection of images from various sources of datasets. Some no longer work.
Olympic dataset
Create a dataset of synthetic and scanned pianoform music for end-to-end OMR, called OLiMPiC. The dataset is built upon the OpenScore Lieder Corpus.
OpenOMR dataset
A dataset of 706 symbols (g-clef, f-clef) and symbol primitives (note-heads, stems with flags, beams) of 16 classes created by Arnaud F. Desaedeleer as part of his master thesis to train artificial neural networks.D
Piano street collection
A lot of music scores with frequent new listings. First page free for view. 3900 pieces with audio visual study tool. Listing by difficulty level.
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.
Primus
Printed Images of Music Staves. Two packages of synthetic music with one line segments printed. No musicxml and kern.
Quartets sheet transformer
Generated together with GrandStaff by Alicante group. Quartets is a well-known collection employed in the Audio to Score field.
RISM
Reportoire International de Sources Musicales contains catalogged music sources funded by barious agencies. It includes libraries in Berlin and Bavaria.
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.
Rebelo
Three datasets of perfect and scanned music symbols including an extensive set of synthetically modified images for staff-line detection and removal. Contains approximately 15000 music symbols.
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.
Sheet Music Benchmark
SMB (Sheet Music Benchmark) is a dataset of printed Common Western Modern Notation scores developed at the University of Alicante at the Pattern Recognition and Artificial Intelligence Group.
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