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dc.contributor.authorTuggener, Lukas-
dc.contributor.authorSatyawan, Yvan Putra-
dc.contributor.authorPacha, Alexander-
dc.contributor.authorSchmidhuber, Jürgen-
dc.contributor.authorStadelmann, Thilo-
dc.date.accessioned2022-12-01T14:28:50Z-
dc.date.available2022-12-01T14:28:50Z-
dc.date.issued2020-09-02-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26236-
dc.description.abstractThe DeepScoresV2 Dataset for Music Object Detection contains digitally rendered images of written sheet music, together with the corresponding ground truth to fit various types of machine learning models. A total of 151 Million different instances of music symbols, belonging to 135 different classes are annotated. The total Dataset contains 255,385 Images. For most researches, the dense version, containing 1714 of the most diverse and interesting images, is a good starting point. The dataset contains ground in the form of: - Non-oriented bounding boxes - Oriented bounding boxes - Semantic segmentation - Instance segmentationde_CH
dc.language.isoende_CH
dc.publisherZenodode_CH
dc.relation.isreferencedbyhttps://doi.org/10.21256/zhaw-20647de_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectMusic object recognitionde_CH
dc.subjectDeep learningde_CH
dc.subjectObject detectionde_CH
dc.subjectOMRde_CH
dc.subjectDeepScoresde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleDeepScoresV2de_CH
dc.typeForschungsdatende_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.5281/zenodo.4012193de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.webfeedMachine Perception and Cognitionde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.funding.zhawRealScore – Scanning of Real-World Sheet Music for a Digital Music Standde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:ZHAW Forschungsdaten School of Engineering

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Tuggener, L., Satyawan, Y. P., Pacha, A., Schmidhuber, J., & Stadelmann, T. (2020). DeepScoresV2 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4012193
Tuggener, L. et al. (2020) ‘DeepScoresV2’. Zenodo. Available at: https://doi.org/10.5281/zenodo.4012193.
L. Tuggener, Y. P. Satyawan, A. Pacha, J. Schmidhuber, and T. Stadelmann, “DeepScoresV2.” Zenodo, Sep. 02, 2020. doi: 10.5281/zenodo.4012193.
TUGGENER, Lukas, Yvan Putra SATYAWAN, Alexander PACHA, Jürgen SCHMIDHUBER und Thilo STADELMANN, 2020. DeepScoresV2. Data set. 2 September 2020. Zenodo
Tuggener, Lukas, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, and Thilo Stadelmann. 2020. “DeepScoresV2.” Data set. Zenodo. https://doi.org/10.5281/zenodo.4012193.
Tuggener, Lukas, et al. DeepScoresV2. Zenodo, 2 Sept. 2020, https://doi.org/10.5281/zenodo.4012193.


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