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Removing duplicated audio-labs v2 entry and adding link from dataset …
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apacha committed Apr 1, 2024
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Expand Up @@ -31,7 +31,6 @@ The following datasets are referenced from this repository:
| [Sheet Midi Retrieval Dataset](#sheet-midi-retrieval-dataset) | Typeset | 200 songs | Images (Jpg and PDF), MIDI, CSV | Multimodal Retrieval, Score Following |
| [AudioLabs v1](#audiolabs-v1) | Typeset | 940 score images; 24,329 bounding boxes | Images | Box Annotation Detection |
| [AudioLabs v2](#audiolabs-v2) | Typeset | 940 score images; 85,980 bounding boxes | Images | Box Annotation Detection |
| [AudioLabs v2](#audiolabs-v2) | Typeset | 940 score images; 85,980 bounding boxes | Images | Box Annotation Detection |
| [OpenScore Lieder](#openscore-lieder) | Typeset | 1356 files | MuseScore | Various |
| [OpenScore String Quartets](#openscore-string-quartets) | Typeset | 106 files | MuseScore | Various |
| [MuseScore](#musescore) | Typeset | > 340000 files | MuseScore, PDF, MusicXML | Various |
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2 changes: 1 addition & 1 deletion README_omrdatasettools.md
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[![Build Status](https://github.com/apacha/OMR-Datasets/actions/workflows/python-app.yml/badge.svg)](https://travis-ci.org/apacha/OMR-Datasets) [![codecov](https://codecov.io/gh/apacha/OMR-Datasets/branch/master/graph/badge.svg)](https://codecov.io/gh/apacha/OMR-Datasets) [![PyPI version](https://badge.fury.io/py/omrdatasettools.svg)](https://badge.fury.io/py/omrdatasettools) [![Documentation Status](https://readthedocs.org/projects/omr-datasets/badge/?version=latest)](http://omr-datasets.readthedocs.io/en/latest/?badge=latest) [![GitHub license](https://img.shields.io/badge/License-MIT-brightgreen.svg)](https://raw.githubusercontent.com/apacha/OMR-Datasets/master/LICENSE.txt)

A collection of tools that simplify the downloading and handling of datasets used for Optical Music Recognition (OMR).
A collection of tools that simplify the downloading and handling of datasets used for Optical Music Recognition (OMR), which can be found [here](https://apacha.github.io/OMR-Datasets/).
These tools are available as Python package ``omrdatasettools`` on PyPi.

They simplify the most common tasks such as downloading and extracting a dataset,
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