Update README.md

README.md

@@ -39,7 +39,7 @@ source .venv/bin/activate
 pip3 install numpy pandas geopandas rasterio rioxarray xarray netCDF4 h5netcdf transformers datasets
 ```
 
-#### Setup more libraries, if you want to check a minimum working example ()
+#### Setup more libraries, if you want to check a minimum working example (https://huggingface.co/datasets/AUA-Informatics-Lab/eo4wildfires/blob/main/how-to-use-eo4wildfires.ipynb)
 ```
 pip3 evaluate accelerate matplotlib
 ```
@@ -53,6 +53,37 @@ from datasets import load_dataset
 dataset = load_dataset('AUA-Informatics-Lab/eo4wildfires')
 ```
 
+#### Plot some examples
+```
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Convert dataset arrays into numpy arrays
+dataset.set_format('np')
+
+fig, axes = plt.subplots(3, 2, figsize=(12, 20))
+
+axes[0][0].imshow(dataset['validation'][0]['burned_mask']*255)
+axes[0][1].imshow((dataset['validation'][0]['S2A'][3:0:-1]*255).astype('int').transpose(1, 2, 0))
+
+axes[1][0].imshow(dataset['validation'][16]['burned_mask']*255)
+axes[1][1].imshow((dataset['validation'][16]['S2A'][3:0:-1]*255).astype('int').transpose(1, 2, 0))
+
+axes[2][0].imshow(dataset['validation'][789]['burned_mask']*255)
+axes[2][1].imshow((dataset['validation'][789]['S2A'][3:0:-1]*255).astype('int').transpose(1, 2, 0))
+
+plt.show()
+```
+
+![plot](plot.png)
+
+#### Load dataset
+```
+from datasets import load_dataset
+
+dataset = load_dataset('AUA-Informatics-Lab/eo4wildfires')
+```
+
 ### Cite the dataset
 ```
 @Article{fire7110374,