Update README.md

README.md

@@ -17,19 +17,19 @@ model-index:
     metrics:
     - name: mIoU
       type: mIoU
-      value: 54.220
+      value: 58.093
     - name: Overall Accuracy
       type: OA
       value: 74.887
     - name: Fscore
       type: Fscore
-      value: 67.509
+      value: 72.331
     - name: Precision
       type: Precision
-      value: 67.739
+      value: 72.577
     - name: Recall
       type: Recall
-      value: 68.497
+      value: 73.390
       
     - name: IoU Buildings
       type: IoU
@@ -243,7 +243,7 @@ As a result the _Snow_ class is absent from the TEST set.
 
 #### Metrics
 
-With the evaluation protocol, the **FLAIR-INC_rgb_15cl_resnet34-deeplabv3** have been evaluated to **OA= 74.887%** and **mIoU=54.220%**. 
+With the evaluation protocol, the **FLAIR-INC_rgb_15cl_resnet34-deeplabv3** have been evaluated to **OA= 74.887%** and **mIoU=58.093%**. 
 The _snow_ class is discarded from the average metrics.
 
 The following table give the class-wise metrics :
@@ -265,7 +265,7 @@ The following table give the class-wise metrics :
 |  swimming_pool   	      |   38.207   |   55.289   |   59.539   |   51.606   |
 |  snow   		          |   _0.000_  |   _0.000_  |   _0.000_  |   _0.000_  |
 |  greenhouse   	      |   53.815   |   69.974   |   57.120   |   90.293   |
-| **average**             |  **54.220**    |  **67.509**  |  **67.739**  |  **68.497**  |
+| **average**             |  **58.093**    |  **72.331**  |  **72.577**  |  **73.390**  |