Datasets:
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README.md
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@@ -9,7 +9,7 @@ This is a mini version of my [BHI SISR Dataset](https://huggingface.co/datasets/
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The focus of this dataset was to extract the high information density and good quality images from the dataset, together with deduplication.
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This is for training sisr upscaling networks, can be used for small, medium, or even big network because of its information density.
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Though if you are doing paired training with pre-applied randomized degradation, you could use the [BHI Small version](https://huggingface.co/datasets/Phips/BHI_small
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For complex pre-applied degradation (many different types and strengths) or diffusion network, probably the standard BHI might give better results.
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<figure>
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The focus of this dataset was to extract the high information density and good quality images from the dataset, together with deduplication.
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10 |
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11 |
This is for training sisr upscaling networks, can be used for small, medium, or even big network because of its information density.
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12 |
+
Though if you are doing paired training with pre-applied randomized degradation, you could use the [BHI Small version](https://huggingface.co/datasets/Phips/BHI_small) for better degradation distribution together with a medium or big network.
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For complex pre-applied degradation (many different types and strengths) or diffusion network, probably the standard BHI might give better results.
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<figure>
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