Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tuggener, Lukas | - |
dc.contributor.author | Satyawan, Yvan Putra | - |
dc.contributor.author | Pacha, Alexander | - |
dc.contributor.author | Schmidhuber, Jürgen | - |
dc.contributor.author | Stadelmann, Thilo | - |
dc.date.accessioned | 2022-12-01T14:28:50Z | - |
dc.date.available | 2022-12-01T14:28:50Z | - |
dc.date.issued | 2020-09-02 | - |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/26236 | - |
dc.description.abstract | The 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 segmentation | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Zenodo | de_CH |
dc.relation.isreferencedby | https://doi.org/10.21256/zhaw-20647 | de_CH |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
dc.subject | Music object recognition | de_CH |
dc.subject | Deep learning | de_CH |
dc.subject | Object detection | de_CH |
dc.subject | OMR | de_CH |
dc.subject | DeepScores | de_CH |
dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
dc.title | DeepScoresV2 | de_CH |
dc.type | Forschungsdaten | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
dc.identifier.doi | 10.5281/zenodo.4012193 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.webfeed | Machine Perception and Cognition | de_CH |
zhaw.webfeed | Datalab | de_CH |
zhaw.webfeed | Information Engineering | de_CH |
zhaw.webfeed | Natural Language Processing | de_CH |
zhaw.webfeed | ZHAW digital | de_CH |
zhaw.funding.zhaw | RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_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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