metadata
license: unknown
size_categories: 10K<n<100K
task_categories:
- image-classification
paperswithcode_id: lsun
pretty_name: LSUN (c)
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 17509356
num_examples: 10000
download_size: 0
dataset_size: 17509356
Dataset Card for LSUN (c) 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
- Original Dataset Paper: http://arxiv.org/abs/1610.01119v2
- 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{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