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  The dataset was obtained using the [web crowdsourcing GIS service of Yandex Maps](https://n.maps.yandex.ru/), with a custom written web scrapper. </br>
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  The main advantages of this dataset are the high quality of the images and the focus on Russian urban areas. </br>
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  This dataset is the only* image dataset for the img2img task for the Commonwealth of Independent States (CIS) regions (* as of spring 2020). </br>
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  The dataset has a train/test split and the A and B folders have a satellite view and a map view respectively. This structure is used in Pix2Pix GAN tasks. </br>
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- pretty_name: "Pix2PixHD YandexMaps"
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- tags:
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- - gan
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- - cv
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- - rus
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- license: Feel free to use this dataset for non-commercial purposes with a reference to this repository.
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- task_categories:
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- - image-generation
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- - image2image
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - image-to-image
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+ language:
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+ - ru
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+ - en
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+ tags:
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+ - GAN
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+ - CV
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+ - RU
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+ pretty_name: Pix2PixHD YandexMaps
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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  The dataset was obtained using the [web crowdsourcing GIS service of Yandex Maps](https://n.maps.yandex.ru/), with a custom written web scrapper. </br>
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  The main advantages of this dataset are the high quality of the images and the focus on Russian urban areas. </br>
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  This dataset is the only* image dataset for the img2img task for the Commonwealth of Independent States (CIS) regions (* as of spring 2020). </br>
 
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  The dataset has a train/test split and the A and B folders have a satellite view and a map view respectively. This structure is used in Pix2Pix GAN tasks. </br>
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+ Feel free to use this dataset for non-commercial purposes with a reference to this repository.