segmentation-dataset

README.md

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----
-configs:
-- config_name: default
-  data_files:
-  - path: data/train-\*
-    split: train
-  - path: data/val-\*
-    split: val
-dataset_info:
-  dataset_size: 141628052928
-  download_size: 75032904415
-  features:
-  - dtype: string
-    name: id
-  - dtype: binary
-    name: dat
-  - dtype: string
-    name: hea
-  - dtype: image
-    name: mask
-  - dtype: image
-    name: img
-  - dtype: binary
-    name: dat_T0
-  - dtype: string
-    name: hea_T0
-  - dtype: image
-    name: mask_T0
-  - dtype: image
-    name: img_T0
-  splits:
-  - name: train
-    num_bytes: 134493058267
-    num_examples: 4112
-  - name: val
-    num_bytes: 7134994661
-    num_examples: 217
-license: apache-2.0
----
-
-# Info
-
-The dataset was generated using this fork of ECG-Image-Kit\
-<https://github.com/Ahus-AIM/ecg-image-kit>
-
-and was used to train the segmentation network in\
-<https://github.com/Ahus-AIM/Open-ECG-Digitizer>
-
-# Download the dataset
-
-``` python
-from datasets import load_dataset
-
-ds = load_dataset("Ahus-AIM/Open-ECG-Digitizer-Development-Dataset")
-```
-
-# Mandatory citation
-
-If you use this dataset, please cite
-
-``` bibtex
-@article{stenhede_digitizing_2026,
-  title        = {Digitizing Paper {ECGs} at Scale: An Open-Source Algorithm for Clinical Research},
-  author       = {Stenhede, Elias and Bjørnstad, Agnar Martin and Ranjbar, Arian},
-  journal      = {npj Digital Medicine},
-  year         = {2026},
-  doi          = {10.1038/s41746-025-02327-1},
-  url          = {https://doi.org/10.1038/s41746-025-02327-1},
-  shorttitle   = {Digitizing Paper {ECGs} at Scale}
-}
-
-@article{Shivashankara2024ECGImageKit,
-  title   = {ECG-image-kit: A synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization},
-  author  = {Shivashankara, Kshama Kodthalu and
-             Deepanshi and
-             Shervedani, Afagh Mehri and
-             Reyna, Matthew A. and
-             Clifford, Gari D. and
-             Sameni, Reza},
-  journal = {Physiological Measurement},
-  year    = {2024},
-  publisher = {IOP Publishing},
-  doi     = {10.1088/1361-6579/ad4954}
-}
-```
+---
+license: apache-2.0
+---

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