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@@ -71,20 +71,20 @@ IC9600 >= 0.4
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  Which led to following dataset tile quantities that satisfied the filtering process, which made it into the BHI SISR Dataset:
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- DF2K -> 12'639 Tiles
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- FFHQ -> 35'112 Tiles
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  HQ50K -> 61'647 Tiles
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- ImageNet -> 4'505 Tiles
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  LSDIR -> 116'141 Tiles
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  OST -> 1'048 Tiles
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- COCO2017_train -> 5'621 Tiles
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  COCO2017_unlabeled -> 5'887 Tiles
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  Digital_Art_v2 -> 1'620 Tiles
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  HFA2K -> 2'280 Tiles
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  ModernAnimation1080_v3 -> 4'109 Tiles
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  Nomos_Uni -> 2'466 Tiles
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  Nomosv2 -> 5'226 Tiles
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- inaturalist_2019 -> 131'943 Tiles
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  My main point here also would be that this dataset, even though still consisting of around 300k tiles, is already a strongly reduced version of these original datasets combined.
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  Which led to following dataset tile quantities that satisfied the filtering process, which made it into the BHI SISR Dataset:
73
 
74
+ DF2K -> 12'462 Tiles
75
+ FFHQ -> 35'111 Tiles
76
  HQ50K -> 61'647 Tiles
77
+ ImageNet -> 4'479 Tiles
78
  LSDIR -> 116'141 Tiles
79
  OST -> 1'048 Tiles
80
+ COCO2017_train -> 5'619 Tiles
81
  COCO2017_unlabeled -> 5'887 Tiles
82
  Digital_Art_v2 -> 1'620 Tiles
83
  HFA2K -> 2'280 Tiles
84
  ModernAnimation1080_v3 -> 4'109 Tiles
85
  Nomos_Uni -> 2'466 Tiles
86
  Nomosv2 -> 5'226 Tiles
87
+ inaturalist_2019 -> 131'940 Tiles
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  My main point here also would be that this dataset, even though still consisting of around 300k tiles, is already a strongly reduced version of these original datasets combined.
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