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metadata
license: unknown
size_categories: n<1K
task_categories:
  - image-classification
pretty_name: SSB (easy)
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 41921235
      num_examples: 151
  download_size: 0
  dataset_size: 41921235

Dataset Card for SSB (easy) for OOD Detection

Dataset Details

Dataset Description

  • Original Dataset Authors: Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
  • OOD Split Authors: Julian Bitterwolf, Maximilian Müller, Matthias Hein
  • Shared by: Eduardo Dadalto
  • License: unknown

Dataset Sources

Direct Use

This dataset is intended to be used as an ouf-of-distribution dataset for image classification benchmarks.

Out-of-Scope Use

This dataset is not annotated.

Curation Rationale

The goal in curating and sharing this dataset to the HuggingFace Hub is to accelerate research and promote reproducibility in generalized Out-of-Distribution (OOD) detection.

Check the python library detectors if you are interested in OOD detection.

Personal and Sensitive Information

Please check original paper for details on the dataset.

Bias, Risks, and Limitations

Please check original paper for details on the dataset.

Citation

BibTeX:

@software{detectors2023,
author = {Eduardo Dadalto},
title = {Detectors: a Python Library for Generalized Out-Of-Distribution Detection},
url = {https://github.com/edadaltocg/detectors},
doi = {https://doi.org/10.5281/zenodo.7883596},
month = {5},
year = {2023}
}

@article{2306.00826v1,
author        = {Julian Bitterwolf and Maximilian Müller and Matthias Hein},
title         = {In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation},
year          = {2023},
month         = {6},
note          = {ICML 2023. Datasets, code and evaluation data at
  https://github.com/j-cb/NINCO},
archiveprefix = {arXiv},
url           = {http://arxiv.org/abs/2306.00826v1}
}

Dataset Card Authors

Eduardo Dadalto

Dataset Card Contact

https://huggingface.co./edadaltocg