Datasets:

Modalities:
Image
Languages:
English
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+ ---
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+ language:
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+ - en
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+ Dataset Summary
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+ DeepShade is a multimodal dataset designed for shade simulation via text-conditioned image generation. It captures realistic outdoor scenes and their corresponding shade conditions over time, enabling supervised training of diffusion-based models that can simulate sun-shade transitions based on spatial layout and temporal context.
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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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+ 1. Source image file path
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+ 2. Target image file path
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+ 3. Prompt