Dataset details

  # import openml
  import openml

  # download dataset with DATASET_ID. Replace DATASET_ID with OpenML ID
  dataset = openml.datasets.get_dataset(DATASET_ID, download_data=True, download_all_files=True)


  # display dataset info
  print(dataset.name)
              

Datasets are downloaded in openml cache directory. You can check it with this code:

  # display openml cache directory
  print(openml.config.get_cache_directory())
              

  @inproceedings{stylized-meta-album-2024,
    title={Stylized Meta-Album: Muti-domain computer vision meta-dataset},
    author={Mussard, Romain and Gauffre, Aurélien and Ullah, Ihsan and Khuong, Thanh Gia Hieu and Amini, Massih-Reza and Hosoya, Lisheng Sun},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://stylized-meta-album.github.io/},
    year = {2024}
  }

  @inproceedings{meta-album-2022,
    title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
    author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://meta-album.github.io/},
    year = {2022}
  }