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@@ -87,4 +87,22 @@ We first describe the splits available from this hub, and then specify the exter
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  - **iNaturalist** is a split of the original [iNaturalist2017 dataset](https://github.com/visipedia/inat_comp/tree/master/2017) designed for OOD detection with ImageNet as in-distribution. It was introduced in [MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space](https://arxiv.org/pdf/2105.01879.pdf) and can be downloaded [here](http://pages.cs.wisc.edu/~huangrui/imagenet_ood_dataset/iNaturalist.tar.gz).
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  - **ImageNet-O** was introduced in [Natural Adversarial Examples](https://arxiv.org/pdf/1907.07174.pdf) and is comprised of natural examples that were selected for their high classification confidence by CNNs. It can be downloaded [here](https://people.eecs.berkeley.edu/~hendrycks/imagenet-o.tar).
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  - **OpenImage-O** is a subset of the OpenImage dataset that was built similarly to ImageNet-O in [ViM: Out-Of-Distribution with Virtual-logit Matching](https://arxiv.org/pdf/2203.10807.pdf). The file list can be accessed [here](https://github.com/haoqiwang/vim/blob/master/datalists/openimage_o.txt).
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- - **Defocus blur**, **Gaussian noise**, **Snow** and **Brightness** are all existing splits of the [ImageNet-C dataset](https://github.com/hendrycks/robustness). For BROAD, only the highest strength of corruption (5/5) is used.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **iNaturalist** is a split of the original [iNaturalist2017 dataset](https://github.com/visipedia/inat_comp/tree/master/2017) designed for OOD detection with ImageNet as in-distribution. It was introduced in [MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space](https://arxiv.org/pdf/2105.01879.pdf) and can be downloaded [here](http://pages.cs.wisc.edu/~huangrui/imagenet_ood_dataset/iNaturalist.tar.gz).
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  - **ImageNet-O** was introduced in [Natural Adversarial Examples](https://arxiv.org/pdf/1907.07174.pdf) and is comprised of natural examples that were selected for their high classification confidence by CNNs. It can be downloaded [here](https://people.eecs.berkeley.edu/~hendrycks/imagenet-o.tar).
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  - **OpenImage-O** is a subset of the OpenImage dataset that was built similarly to ImageNet-O in [ViM: Out-Of-Distribution with Virtual-logit Matching](https://arxiv.org/pdf/2203.10807.pdf). The file list can be accessed [here](https://github.com/haoqiwang/vim/blob/master/datalists/openimage_o.txt).
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+ - **Defocus blur**, **Gaussian noise**, **Snow** and **Brightness** are all existing splits of the [ImageNet-C dataset](https://github.com/hendrycks/robustness). For BROAD, only the highest strength of corruption (5/5) is used.
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+ ### LICENSE
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+ ```
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+ Copyright 2023 ServiceNow, Inc.
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+
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+ Licensed under the Apache License, Version 2.0 (the "License");
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+ you may not use this data except in compliance with the License.
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+ You may obtain a copy of the License at
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+
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+ http://www.apache.org/licenses/LICENSE-2.0
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+
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+ Unless required by applicable law or agreed to in writing, software
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+ distributed under the License is distributed on an "AS IS" BASIS,
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+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ See the License for the specific language governing permissions and
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+ limitations under the License.
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+ ```