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@@ -10,12 +10,17 @@ DeepShade is a multimodal dataset designed for shade simulation via text-conditi
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  The dataset was introduced in the DeepShade project (IJCAI 2025 submission), and it supports research in text-to-image generation.
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  Dataset Structure
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  Data Modality: Multimodal (Image, Text, Time)
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  Number of samples: ~100,000
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  Resolution: 1024×1024 images
 
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  Formats:
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  .png images (rendered)
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  .json metadata files with the following fields:
 
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  The dataset was introduced in the DeepShade project (IJCAI 2025 submission), and it supports research in text-to-image generation.
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+ Dataset Files Structure:
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+ Each city has a dedicated zip folder which contains source, target and the test and train json files
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+ There is one common zip file for all the satellite images of all the cities
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  Dataset Structure
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  Data Modality: Multimodal (Image, Text, Time)
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  Number of samples: ~100,000
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  Resolution: 1024×1024 images
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+
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  Formats:
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  .png images (rendered)
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  .json metadata files with the following fields: