Update README.md

README.md

@@ -167,6 +167,11 @@ Use the code below to get started with the model.
 ### Training Data
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+218 400 patchs of 512 x 512 pixels were used to train the model. 
+The train/validation split was performed patchwise to obtain a 80% / 20% distribution. Spatial independancy between patches is guaranted : neighbouring patches are assigned to the same partition :
+* Train set : 174 700 patches
+* Validation set : 43 700 patchs
+
 
 {{ training_data | default("[More Information Needed]", true)}}
 
@@ -176,6 +181,17 @@ Use the code below to get started with the model.
 
 #### Preprocessing [optional]
 
+For traning the model, input normalization was performed so as the input dataset has a mean of 0 and a standart deviation of 1. For this model here are the statistics of the TRAIN+VALIDATION partition. It is recommended that the user apply the same type of input normalization.
+Input normalization was performed 
+| Modalities              | Mean (Train + Validation)       |Std    (Train + Validation)     |
+| ----------------------- | ----------- |----------- |
+| Red Channel (R)         | 105.08	    |52.17       |
+| Green Channel (V)       | 110.87      |45.38       |
+| Blue Channel (B)        | 101.82	    |44.00       |
+| Infrared Channel (I)    | 106.38	    |39.69       |
+| Elevation Channel (E)   | 53.26       |79.30       |
+
+
 {{ preprocessing | default("[More Information Needed]", true)}}