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https://doi.org/10.21256/zhaw-20647| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | The DeepScoresV2 dataset and benchmark for music object detection |
| Authors: | Tuggener, Lukas Satyawan, Yvan Putra Pacha, Alexander Schmidhuber, Jürgen Stadelmann, Thilo |
| et. al: | No |
| DOI: | 10.1109/ICPR48806.2021.9412290 10.21256/zhaw-20647 |
| Proceedings: | 2020 25th International Conference on Pattern Recognition (ICPR) |
| Page(s): | 9188 |
| Pages to: | 9195 |
| Conference details: | 25th International Conference on Pattern Recognition 2020 (ICPR’20), Online, 10-15 January 2021 |
| Issue Date: | 2021 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 978-1-7281-8808-9 |
| Language: | English |
| Subjects: | Optical music recognition; Deep neural net; Music object detection; Object detection; Computer vision; Pattern recognition |
| Subject (DDC): | 006: Special computer methods |
| Abstract: | In this paper, we present DeepScoresV2, an extended version of the DeepScores dataset for optical music recognition (OMR). We improve upon the original DeepScores dataset by providing much more detailed annotations, namely (a) annotations for 135 classes including fundamental symbols of non-fixed size and shape, increasing the number of annotated symbols by 23%; (b) oriented bounding boxes; (c) higher-level rhythm and pitch information (onset beat for all symbols and line position for noteheads); and (d) a compatibility mode for easy use in conjunction with the MUSCIMA++ dataset for OMR on handwritten documents. These additions open up the potential for future advancement in OMR research. Additionally, we release two state-of-the-art baselines for DeepScoresV2 based on Faster R-CNN and the Deep Watershed Detector. An analysis of the baselines shows that regular orthogonal bounding boxes are unsuitable for objects which are long, small, and potentially rotated, such as ties and beams, which demonstrates the need for detection algorithms that naturally incorporate object angles. |
| Further description: | The dataset, code and pre-trained models, as well as user instructions, are publicly available at https://zenodo.org/record/4012193. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/20647 |
| Related research data: | https://zenodo.org/record/4012193 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Published as part of the ZHAW project: | RealScore - Scanning of Real-World Sheet Music for a Digital Music Stand |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Tuggener-etal_DeepScoresV2-dataset-and-benchmark_ICPR.pdf | Accepted Version | 1.35 MB | Adobe PDF |  View/Open |
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Tuggener, L., Satyawan, Y. P., Pacha, A., Schmidhuber, J., & Stadelmann, T. (2021). The DeepScoresV2 dataset and benchmark for music object detection [Conference paper]. 2020 25th International Conference on Pattern Recognition (ICPR), 9188–9195. https://doi.org/10.1109/ICPR48806.2021.9412290
Tuggener, L. et al. (2021) ‘The DeepScoresV2 dataset and benchmark for music object detection’, in 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, pp. 9188–9195. Available at: https://doi.org/10.1109/ICPR48806.2021.9412290.
L. Tuggener, Y. P. Satyawan, A. Pacha, J. Schmidhuber, and T. Stadelmann, “The DeepScoresV2 dataset and benchmark for music object detection,” in 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 9188–9195. doi: 10.1109/ICPR48806.2021.9412290.
TUGGENER, Lukas, Yvan Putra SATYAWAN, Alexander PACHA, Jürgen SCHMIDHUBER und Thilo STADELMANN, 2021. The DeepScoresV2 dataset and benchmark for music object detection. In: 2020 25th International Conference on Pattern Recognition (ICPR). Conference paper. IEEE. 2021. S. 9188–9195. ISBN 978-1-7281-8808-9
Tuggener, Lukas, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, and Thilo Stadelmann. 2021. “The DeepScoresV2 Dataset and Benchmark for Music Object Detection.” Conference paper. In 2020 25th International Conference on Pattern Recognition (ICPR), 9188–95. IEEE. https://doi.org/10.1109/ICPR48806.2021.9412290.
Tuggener, Lukas, et al. “The DeepScoresV2 Dataset and Benchmark for Music Object Detection.” 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, 2021, pp. 9188–95, https://doi.org/10.1109/ICPR48806.2021.9412290.
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