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@@ -28,6 +28,7 @@ Advantage of this dataset is large quantity of normalized (512x512) tiles
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  - When applying degradations to create a corresponding LR, the distribution of degradation strengths should be sufficient, even when using multiple degradations.
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  - Big arch options in general can profit from the amount of learning content in this dataset.
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  - Since it takes a while to reach a new epoch, higher training iters is advised for big arch options to profit thereof. The filtering method used here made sure that metrics would not worsen during training.
 
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  ## Used Datasets
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  - When applying degradations to create a corresponding LR, the distribution of degradation strengths should be sufficient, even when using multiple degradations.
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  - Big arch options in general can profit from the amount of learning content in this dataset.
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  - Since it takes a while to reach a new epoch, higher training iters is advised for big arch options to profit thereof. The filtering method used here made sure that metrics would not worsen during training.
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+ - This dataset could still be distilled more to reach higher quality, if for example another promising filtering method is used in the future on this dataset
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  ## Used Datasets
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