metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': MH
            '1': DR
            '2': AMD
            '3': NORMAL
            '4': RVO
  splits:
    - name: train
      num_bytes: 542923384.716
      num_examples: 1534
    - name: validation
      num_bytes: 55514206
      num_examples: 171
    - name: test
      num_bytes: 63512486
      num_examples: 182
  download_size: 661715573
  dataset_size: 661950076.716
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc-by-4.0
task_categories:
  - image-classification
tags:
  - medical
size_categories:
  - 1K<n<10K

Dataset Card for OCTDL2024

The OCTDL2024 dataset is a subset of the dataset OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.

Citation

@article{kulyabin2024octdl,
  title={OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods},
  author={Kulyabin, Mikhail and Zhdanov, Aleksei and Nikiforova, Anastasia and Stepichev, Andrey 
          and Kuznetsova, Anna and Ronkin, Mikhail and Borisov, Vasilii and Bogachev, Alexander 
          and Korotkich, Sergey and Constable, Paul A and Maier, Andreas},
  journal={Scientific Data},
  volume={11},
  number={1},
  pages={365},
  year={2024},
  publisher={Nature Publishing Group UK London},
  doi={https://doi.org/10.1038/s41597-024-03182-7}
}