Datasets:

zeahub
/

camus-sample

Tasks:

Image Segmentation

Tags:

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 49, in _split_generators
                  import h5py
              ModuleNotFoundError: No module named 'h5py'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

CAMUS Sample - 2-D Echocardiographic Ultrasound Dataset

This is a sample subset of the full CAMUS dataset, provided for demonstration and testing purposes. It contains 6 files (1 patient per split). For the full dataset (500 patients), see: zeahub/camus.

This dataset is a zea-format (HDF5) conversion of the CAMUS dataset for multi-structure segmentation in 2-D echocardiography.

Property	Value
Modality	2-D transthoracic echocardiography
Patients	500
Views	2-chamber (2CH) and 4-chamber (4CH) apical
Splits	train (1-400), val (401-450), test (451-500)

Conversion

This dataset was downloaded, converted to zea format, and uploaded using the zea data converter:

zea convert camus <src> <dst> --download

Dataset structure

train/
  patient0001/
    patient0001_2CH_half_sequence.hdf5
    patient0001_4CH_half_sequence.hdf5
  ...
val/
  patient0401/ ...
test/
  patient0451/ ...

Each HDF5 file follows the zea data format and contains:

data/image/values — scan-converted B-mode sequence in dB, shape (n_frames, H, W), float32; x=0 at apex centre
data/image/coordinates — per-pixel Cartesian positions in metres, shape (H, W, 3) [x, y=0, z]
data/image_polar/values — polar-resampled B-mode sequence, shape (n_frames, n_r, n_theta), float32
data/image_polar/coordinates — Cartesian [x, 0, z] positions of polar pixels in metres, shape (n_r, n_theta, 3)
data/segmentation/values — multi-label bool segmentation, shape (n_frames, H, W, 4)
data/segmentation/labels — ["unannotated", "LV_endo", "LV_myo", "LA"]; unannotated frames have only the first channel set
data/segmentation/coordinates — same grid as image/coordinates
metadata/subject — patient ID, sex, age
metadata/credit — full citation string
metadata/text_report — ejection fraction, frame rate, image quality
metadata/annotations/view — "2CH" or "4CH" repeated for all frames
metadata/annotations/label — "ED" / "ES" for the corresponding frames, "" otherwise
metadata/annotations/image_quality — "Good" / "Medium" / "Poor"

License

CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)

The CAMUS dataset is available free of charge strictly for non-commercial scientific research purposes only.

Citation

If you use this dataset, please cite:

@article{leclerc2019deep,
  title   = {Deep Learning for Segmentation Using an Open Large-Scale Dataset in
             2D Echocardiography},
  author  = {Leclerc, Sarah and Smistad, Erik and Pedrosa, Joao and Ostvik, Andreas and
             Cervenansky, Frederic and Espinosa, Florian and Espeland, Torvald and
             Berg, Erik Andreas Rye and Jodoin, Pierre-Marc and Grenier, Thomas and
             Lartizien, Carole and D'hooge, Jan and Lovstakken, Lasse and
             Bernard, Olivier},
  journal = {IEEE Transactions on Medical Imaging},
  volume  = {38},
  number  = {9},
  pages   = {2198--2210},
  year    = {2019},
  doi     = {10.1109/TMI.2019.2900516}
}

CAMUS Sample - 2-D Echocardiographic Ultrasound Dataset

Conversion

Dataset structure

License

Citation

Links