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examples/instance_segmentation/README.md

@@ -24,7 +24,7 @@ labelme data_annotated --labels labels.txt --nodata
 Fig 1. JPEG image (left), JPEG class label visualization (center), JPEG instance label visualization (right)
 Fig 1. JPEG image (left), JPEG class label visualization (center), JPEG instance label visualization (right)
 
 
 
 
-Note that the reason why the label file is mostly black is it contains only very low label values (ex. `0, 4, 14`), and
+Note that the label file contains only very low label values (ex. `0, 4, 14`), and
 `255` indicates the `__ignore__` label value (`-1` in the npy file).  
 `255` indicates the `__ignore__` label value (`-1` in the npy file).  
 You can see the label PNG file by following.
 You can see the label PNG file by following.
 
 

+ 1 - 1
examples/semantic_segmentation/README.md

@@ -24,7 +24,7 @@ labelme data_annotated --labels labels.txt --nodata
 Fig 1. JPEG image (left), PNG label (center), JPEG label visualization (right)  
 Fig 1. JPEG image (left), PNG label (center), JPEG label visualization (right)  
 
 
 
 
-Note that the reason why the label file is mostly black is it contains only very low label values (ex. `0, 4, 14`), and
+Note that the label file contains only very low label values (ex. `0, 4, 14`), and
 `255` indicates the `__ignore__` label value (`-1` in the npy file).  
 `255` indicates the `__ignore__` label value (`-1` in the npy file).  
 You can see the label PNG file by following.
 You can see the label PNG file by following.