Datasets:
Update README.md
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README.md
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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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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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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.
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