metadata

license: unknown
size_categories: 1K<n<10K
task_categories:
  - image-classification
paperswithcode_id: isun
pretty_name: iSUN
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 24514257.375
      num_examples: 8925
  download_size: 0
  dataset_size: 24514257.375

Dataset Card for iSUN for OOD Detection

Dataset Details

Dataset Description

Original Dataset Authors: Junting Pan, Xavier Giró-i-Nieto
OOD Split Authors: Shiyu Liang, Yixuan Li, R. Srikant
Shared by: Eduardo Dadalto
License: unknown

Dataset Sources

Original Dataset Paper: http://arxiv.org/abs/1507.01422v1
First OOD Application Paper: http://arxiv.org/abs/1706.02690v5

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{1706.02690v5,
author        = {Shiyu Liang and Yixuan Li and R. Srikant},
title         = {Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks},
year          = {2017},
month         = {6},
note          = {ICLR 2018},
archiveprefix = {arXiv},
url           = {http://arxiv.org/abs/1706.02690v5}
}

@article{1507.01422v1,
author        = {Junting Pan and Xavier Giró-i-Nieto},
title         = {End-to-end Convolutional Network for Saliency Prediction},
year          = {2015},
month         = {7},
note          = {Winner of the saliency prediction challenge in the Large-scale Scene
  Understanding (LSUN) Challenge in the associated workshop of the IEEE
  Conference on Computer Vision and Pattern Recognition (CVPR) 2015},
archiveprefix = {arXiv},
url           = {http://arxiv.org/abs/1507.01422v1}
}

Dataset Card Authors

Eduardo Dadalto

Dataset Card Contact

https://huggingface.co/edadaltocg