Datasets:
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README.md
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- image-classification
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paperswithcode_id: lsun
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pretty_name: LSUN (c)
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dataset_info:
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features:
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- name: image
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dtype: image
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splits:
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- name: train
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num_bytes: 17509356.0
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num_examples: 10000
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download_size: 18513683
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dataset_size: 17509356.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Dataset Card for LSUN (c) for OOD Detection
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- **Original Dataset Authors**: Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao
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- **Authors:** Shiyu Liang, Yixuan Li, R. Srikant
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- **Shared by:** Eduardo Dadalto
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- **License:** unknown
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<!-- Provide the basic links for the dataset. -->
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- **Paper:** http://arxiv.org/abs/
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### Direct Use
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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.
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### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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Please check original paper for details on the dataset.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```bibtex
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@software{detectors2023,
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author = {Dadalto, Eduardo},
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title = {Detectors: a Python Library for Generalized Out-Of-Distribution Detection},
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month = {5},
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year = {2023}
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}
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@article{1706.02690v5,
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Author = {Shiyu Liang and Yixuan Li and R. Srikant},
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Title = {Enhancing The Reliability of Out-of-distribution Image Detection in
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Month = {6},
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Note = {ICLR 2018},
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Url = {http://arxiv.org/abs/1706.02690v5}
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}
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Author = {Limin Wang and Sheng Guo and Weilin Huang and Yuanjun Xiong and Yu Qiao},
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Title = {Knowledge Guided Disambiguation for Large-Scale Scene Classification
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with Multi-Resolution CNNs},
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- image-classification
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paperswithcode_id: lsun
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pretty_name: LSUN (c)
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---
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# Dataset Card for LSUN (c) for OOD Detection
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- **Original Dataset Authors**: Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao
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- **Authors of First OOD Application:** Shiyu Liang, Yixuan Li, R. Srikant
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- **Shared by:** Eduardo Dadalto
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- **License:** unknown
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<!-- Provide the basic links for the dataset. -->
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- **Original Dataset Paper:** http://arxiv.org/abs/1610.01119v2
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- **First OOD Application Paper:** http://arxiv.org/abs/1706.02690v5
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### Direct Use
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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.
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Check the python library [detectors](https://github.com/edadaltocg/detectors) if you are interested in OOD detection.
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### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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Please check original paper for details on the dataset.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```bibtex
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@software{detectors2023,
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author = {Dadalto, Eduardo},
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title = {Detectors: a Python Library for Generalized Out-Of-Distribution Detection},
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month = {5},
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year = {2023}
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}
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@article{1706.02690v5,
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Author = {Shiyu Liang and Yixuan Li and R. Srikant},
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Title = {Enhancing The Reliability of Out-of-distribution Image Detection in
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Month = {6},
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Note = {ICLR 2018},
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Url = {http://arxiv.org/abs/1706.02690v5}
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}
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@article{1610.01119v2,
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Author = {Limin Wang and Sheng Guo and Weilin Huang and Yuanjun Xiong and Yu Qiao},
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Title = {Knowledge Guided Disambiguation for Large-Scale Scene Classification
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with Multi-Resolution CNNs},
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