Update README.md

README.md

@@ -17,19 +17,19 @@ model-index:
     metrics:
     - name: mIoU
       type: mIoU
-      value: 55.332
+      value: 59.284
     - name: Overall Accuracy
       type: OA
       value: 74.712
     - name: Fscore
       type: Fscore
-      value: 68.424
+      value: 73.312
     - name: Precision
       type: Precision
-      value: 69.174
+      value: 74.115
     - name: Recall
       type: Recall
-      value: 68.455
+      value: 73.344
       
     - name: IoU Buildings
       type: IoU
@@ -241,7 +241,7 @@ As a result the _Snow_ class is absent from the TEST set.
 
 #### Metrics
 
-With the evaluation protocol, the **FLAIR-INC_rgb_15cl_resnet34-fpn** have been evaluated to **OA= 74.712%** and **mIoU=55.332%**. 
+With the evaluation protocol, the **FLAIR-INC_rgb_15cl_resnet34-fpn** have been evaluated to **OA= 74.712%** and **mIoU=59.284%**. 
 The _snow_ class is discarded from the average metrics.
 
 The following table give the class-wise metrics :
@@ -263,7 +263,7 @@ The following table give the class-wise metrics :
 |  swimming_pool   	    |   42.840   |   59.984   |   71.155   |   51.844   |
 |  snow   		        |   _0.000_  |   _0.000_  |   _0.000_  |   _0.000_  |
 |  greenhouse   	    |   64.718   |   78.580   |   73.736   |   84.106   |
-| **average**           |  **55.332**    |  **68.424**  |  **69.174**  |  **68.455**  |
+| **average**           |  **59.284**    |  **73.312**  |  **74.115**  |  **73.344**  |