Update README.md

README.md

@@ -17,19 +17,19 @@ model-index:
     metrics:
     - name: mIoU
       type: mIoU
-      value: 55.079
+      value: 59.013
     - name: Overall Accuracy
       type: OA
       value: 75.482
     - name: Fscore
       type: Fscore
-      value: 68.064
+      value: 72.926
     - name: Precision
       type: Precision
-      value: 70.119
+      value: 75.127
     - name: Recall
       type: Recall
-      value: 67.193
+      value: 71.993
       
     - name: IoU Buildings
       type: IoU
@@ -242,7 +242,7 @@ As a result the _Snow_ class is absent from the TEST set.
 
 #### Metrics
 
-With the evaluation protocol, the **FLAIR-INC_rgb_15cl_resnet34-unet** have been evaluated to **OA= 75.482%** and **mIoU=55.079%**. 
+With the evaluation protocol, the **FLAIR-INC_rgb_15cl_resnet34-unet** have been evaluated to **OA= 75.482%** and **mIoU=59.013%**. 
 The _snow_ class is discarded from the average metrics.
 
 The following table give the class-wise metrics :
@@ -264,7 +264,7 @@ The following table give the class-wise metrics :
 | swimming           |   37.081   |   54.101   |   73.596   |   42.771   |
 | _snow_             |  _0.000_    |  _0.000_  |  _0.000_  |  _0.000_    |
 | greenhouse         |   60.688   |   75.535   |   71.451   |   80.115   |
-| **average**        |  **55.079**    |  **68.064**  |  **70.119**  |  **67.193**  |
+| **average**        |  **59.013**    |  **72.926**  |  **75.127**  |  **71.993**  |