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README.md
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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
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