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@@ -32,7 +32,6 @@ pretty_name: PP4AV
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  - [Data Instances](#data-instances)
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  - [Data Fields](#data-fields)
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  - [Dataset Creation](#dataset-creation)
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- - [Curation Rationale](#curation-rationale)
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  - [Source Data](#source-data)
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  - [Annotations](#annotations)
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  - [Personal and Sensitive Information](#personal-and-sensitive-information)
@@ -117,12 +116,12 @@ The objective of PP4AV is to build a benchmark dataset that can be used to evalu
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  [netherland_youtube_video]()
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  - `Switzerland`: This subset consists of **372** images of Switzerland sampled by the following video:
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  [switzerland_youtube_video](https://www.youtube.com/watch?v=0iw5IP94m0Q)
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- - `Zurich`: This subset consists of 50 images of Zurich city provided by the Cityscapes training set in [leftImg8bit_trainvaltest.zip package](https://www.cityscapes-dataset.com/file-handling/?packageID=3)
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- - `Stuttgart`: This subset consists of 69 images of Stuttgart city provided by the Cityscapes training set in [leftImg8bit_trainvaltest.zip package](https://www.cityscapes-dataset.com/file-handling/?packageID=3)
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- - `Strasbourg`: This subset consists of 50 images of Strasbourg city provided by the Cityscapes training set in [leftImg8bit_trainvaltest.zip package](https://www.cityscapes-dataset.com/file-handling/?packageID=3)
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  We use the fisheye images from the WoodScape dataset to select **244** images from the front, rear, left, and right cameras for fisheye camera data.
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- The source of fisheye data for sampling is located at WoodScape's [fisheye images](https://woodscape.valeo.com/download).
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  In total, **3,447** images were selected and annotated in PP4AV.
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  - [Data Instances](#data-instances)
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  - [Data Fields](#data-fields)
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  - [Dataset Creation](#dataset-creation)
 
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  - [Source Data](#source-data)
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  - [Annotations](#annotations)
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  - [Personal and Sensitive Information](#personal-and-sensitive-information)
 
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  [netherland_youtube_video]()
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  - `Switzerland`: This subset consists of **372** images of Switzerland sampled by the following video:
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  [switzerland_youtube_video](https://www.youtube.com/watch?v=0iw5IP94m0Q)
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+ - `Zurich`: This subset consists of 50 images of Zurich city provided by the Cityscapes training set in package [leftImg8bit_trainvaltest.zip](https://www.cityscapes-dataset.com/file-handling/?packageID=3)
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+ - `Stuttgart`: This subset consists of 69 images of Stuttgart city provided by the Cityscapes training set in package [leftImg8bit_trainvaltest.zip](https://www.cityscapes-dataset.com/file-handling/?packageID=3)
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+ - `Strasbourg`: This subset consists of 50 images of Strasbourg city provided by the Cityscapes training set in package [leftImg8bit_trainvaltest.zip](https://www.cityscapes-dataset.com/file-handling/?packageID=3)
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  We use the fisheye images from the WoodScape dataset to select **244** images from the front, rear, left, and right cameras for fisheye camera data.
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+ The source of fisheye data for sampling is located at WoodScape's [Fisheye images](https://woodscape.valeo.com/download).
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  In total, **3,447** images were selected and annotated in PP4AV.
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