Datasets:
Update README.md
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README.md
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@@ -10,7 +10,9 @@ The focus of this dataset was to extract the high information density and good q
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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 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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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 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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<img src="https://cdn-uploads.huggingface.co/production/uploads/634e9aa407e669188d3912f9/4971HNTaLFqw_Zbb583hR.webp" alt="BHI Mini SISR Dataset Example Tiles">
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<figcaption>BHI Mini SISR Dataset Example Tiles"</figcaption>
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</figure>
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