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eb15473
metadata
license: unknown
size_categories: 10K<n<100K
task_categories:
  - image-classification
paperswithcode_id: lsun
pretty_name: LSUN (r)
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 27566116
      num_examples: 10000
  download_size: 0
  dataset_size: 27566116

Dataset Card for LSUN (r) for OOD Detection

Dataset Details

Dataset Description

  • Original Dataset Authors: Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao
  • OOD Split Authors: Shiyu Liang, Yixuan Li, R. Srikant
  • 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{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{1610.01119v2,
author        = {Limin Wang and Sheng Guo and Weilin Huang and Yuanjun Xiong and Yu Qiao},
title         = {Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs},
year          = {2016},
month         = {10},
note          = {To appear in IEEE Transactions on Image Processing. Code and models
  are available at https://github.com/wanglimin/MRCNN-Scene-Recognition},
archiveprefix = {arXiv},
url           = {http://arxiv.org/abs/1610.01119v2}
}

Dataset Card Authors

Eduardo Dadalto

Dataset Card Contact

https://huggingface.co/edadaltocg