Update README.md

README.md

@@ -2,7 +2,7 @@
 license: cc-by-nc-4.0
 ---
 
-# **CloudSEN12 - scribble**
+# **CloudSEN12  SCRIBBLE**
 ## **A Benchmark Dataset for Cloud Semantic Understanding**
 
 ![CloudSEN12 Images](https://cloudsen12.github.io/thumbnails/cloudsen12.gif)
@@ -83,11 +83,11 @@ Ready to start using **[CloudSEN12](https://cloudsen12.github.io/)**?
 
 <br>
 
-**train shape: (3000, 512, 512)**
+**train shape: (8785, 512, 512)**
 <br>
-**val shape: (3000, 512, 512)**
+**val shape: (560, 512, 512)**
 <br>
-**test shape: (3000, 512, 512)**
+**test shape: (655, 512, 512)**
 
 <br>
 
@@ -99,20 +99,20 @@ Ready to start using **[CloudSEN12](https://cloudsen12.github.io/)**?
 import numpy as np
 
 # Read high-quality train
-train_shape = (3000, 512, 512)
-B4X = np.memmap('train1/L1C_B04.dat', dtype='int16', mode='r', shape=train_shape)
-y = np.memmap('train1/manual_hq.dat', dtype='int8', mode='r', shape=train_shape)
+train_shape = (8785, 512, 512)
+B4X = np.memmap('train/L1C_B04.dat', dtype='int16', mode='r', shape=train_shape)
+y = np.memmap('train/manual_hq.dat', dtype='int8', mode='r', shape=train_shape)
 
 # Read high-quality val
-val_shape = (3000, 512, 512)
-B4X = np.memmap('train2/L1C_B04.dat', dtype='int16', mode='r', shape=val_shape)
-y = np.memmap('train2/manual_hq.dat', dtype='int8', mode='r', shape=val_shape)
+val_shape = (560, 512, 512)
+B4X = np.memmap('val/L1C_B04.dat', dtype='int16', mode='r', shape=val_shape)
+y = np.memmap('val/manual_hq.dat', dtype='int8', mode='r', shape=val_shape)
 
 
 # Read high-quality test
-test_shape = (3000, 512, 512)
-B4X = np.memmap('train3/L1C_B04.dat', dtype='int16', mode='r', shape=test_shape)
-y = np.memmap('train3/manual_hq.dat', dtype='int8', mode='r', shape=test_shape)
+test_shape = (655, 512, 512)
+B4X = np.memmap('test/L1C_B04.dat', dtype='int16', mode='r', shape=test_shape)
+y = np.memmap('test/manual_hq.dat', dtype='int8', mode='r', shape=test_shape)
 ```
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