DeepScoresV2

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. <strong>For most researches, the dense version, containing 1714 of the most diverse and interesting images, should suffice.</strong> The dataset contains ground in the form of: Non-oriented bounding boxes Oriented bounding boxes Semantic segmentation Instance segmentation The accompaning paper <em>The DeepScoresV2 Dataset and Benchmark for Music Object Detection </em>published at ICPR2020 can be found here: https://digitalcollection.zhaw.ch/handle/11475/20647 A toolkit for convenient loading and inspection of the data can be found here: https://github.com/yvan674/obb_anns Code to train baseline models can be found here: https://github.com/tuggeluk/mmdetection/tree/DSV2_Baseline_FasterRCNN https://github.com/tuggeluk/DeepWatershedDetection/tree/dwd_old