Update README.md

README.md

@@ -2,12 +2,12 @@
 license: cc-by-nc-4.0
 ---
 
-# CloudSEN12
-## A Benchmark Dataset for Cloud Semantic Understanding
+# **CloudSEN12**
+## **A Benchmark Dataset for Cloud Semantic Understanding**
 
 ![CloudSEN12 Images](https://cloudsen12.github.io/thumbnails/cloudsen12.gif)
 
-CloudSEN12 is a **LARGE dataset** (~1 TB) for cloud semantic understanding that consists of 49,400 image patches (IP) that are
+CloudSEN12 is a LARGE dataset (~1 TB) for cloud semantic understanding that consists of 49,400 image patches (IP) that are
 evenly spread throughout all continents except Antarctica. Each IP covers 5090 x 5090 meters and contains data from Sentinel-2 
 levels 1C and 2A, hand-crafted annotations of thick and thin clouds and cloud shadows, Sentinel-1 Synthetic Aperture Radar (SAR), 
 digital elevation model, surface water occurrence, land cover classes, and cloud mask results from six cutting-edge 
@@ -17,17 +17,44 @@ CloudSEN12 is designed to support both weakly and self-/semi-supervised learning
 hand-crafted labeling data: high-quality, scribble and no-annotation. For more details on how we created the dataset see our 
 paper.
 
-Ready to start using [CloudSEN12](https://cloudsen12.github.io/)?
+Ready to start using **[CloudSEN12](https://cloudsen12.github.io/)**?
 
-[Download Dataset](https://cloudsen12.github.io/download.html)
+**[Download Dataset](https://cloudsen12.github.io/download.html)**
 
-[Paper - Scientific Data](https://www.nature.com/articles/s41597-022-01878-2)
+**[Paper - Scientific Data](https://www.nature.com/articles/s41597-022-01878-2)**
 
-[Inference on a new S2 image](https://colab.research.google.com/github/cloudsen12/examples/blob/master/example02.ipynb)
+**[Inference on a new S2 image](https://colab.research.google.com/github/cloudsen12/examples/blob/master/example02.ipynb)**
 
-[Enter to cloudApp](https://github.com/cloudsen12/CloudApp)
+**[Enter to cloudApp](https://github.com/cloudsen12/CloudApp)**
 
-[CloudSEN12 in Google Earth Engine](https://gee-community-catalog.org/projects/cloudsen12/)
+**[CloudSEN12 in Google Earth Engine](https://gee-community-catalog.org/projects/cloudsen12/)**
 
-This work has been partially supported by the Spanish Ministry of Science and Innovation project PID2019-109026RB-I00 (MINECO-ERDF) and 
-the Austrian Space Applications Programme within the [SemantiX project](https://austria-in-space.at/en/projects/2019/semantix.php).
+
+<br>
+
+### **Example**
+
+```py
+import numpy as np
+
+# Read high-quality train
+train_shape = (8490, 512, 512)
+B4X = np.memmap('train_B04.dat', dtype='int16', mode='r', shape=train_shape)
+y = np.memmap('train_target.dat', dtype='int8', mode='r', shape=train_shape)
+
+# Read high-quality val
+val_shape = (535, 512, 512)
+B4X = np.memmap('val_B04.dat', dtype='int16', mode='r', shape=val_shape)
+y = np.memmap('val_target.dat', dtype='int8', mode='r', shape=val_shape)
+
+
+# Read high-quality test
+test_shape = (975, 512, 512)
+B4X = np.memmap('test_B04.dat', dtype='int16', mode='r', shape=test_shape)
+y = np.memmap('test_target.dat', dtype='int8', mode='r', shape=test_shape)
+```
+<br>
+
+This work has been partially supported by the Spanish Ministry of Science and Innovation project 
+PID2019-109026RB-I00 (MINECO-ERDF) and the Austrian Space Applications Programme within the 
+**[SemantiX project](https://austria-in-space.at/en/projects/2019/semantix.php)**.