Update README.md

README.md

@@ -59,11 +59,7 @@ COCO 2017 unlabeled from 123'403 images -> 8'814 tiles.
 COCO 2017 train from 118'287 images -> 8'442 tiles.  
 
 And in some cases this led to more images, because the original images were high resolution and therefore gave multiple 512x512 tiles per single image.  
-For example HQ50K -> 213'396 tiles.  
-
-## Conversion
-
-If the images in the dataset were in the jpg format, they have been converted to png format using [Mogrify](https://imagemagick.org/script/mogrify.php).  
+For example HQ50K -> 213'396 tiles.    
 
 ## BHI Filtering
 
@@ -90,7 +86,7 @@ Nomos_Uni -> 2'466 Tiles
 Nomosv2 -> 5'226 Tiles  
 inaturalist_2019 -> 131'943 Tiles  
 
-My main point here also would be that this dataset, even though still consisting of like 390k tiles, is already a strongly reduced version of these original datasets combined.  
+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.  
 
 
 ## Files