detectors/ssb_easy-ood

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

• Original Dataset Paper: http://arxiv.org/abs/2110.06207v2
• First OOD Application Paper: http://arxiv.org/abs/2306.00826v1

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