Update README.md

README.md

@@ -17,19 +17,19 @@ model-index:
     metrics:
     - name: mIoU
       type: mIoU
-      value: 53.440
+      value: 57.258
     - name: Overall Accuracy
       type: OA
       value: 75.870
     - name: Fscore
       type: Fscore
-      value: 65.146
+      value: 69.800
     - name: Precision
       type: Precision
-      value: 65.517
+      value: 70.197
     - name: Recall
       type: Recall
-      value: 65.644
+      value: 70.333
       
     - 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_mitb5-unetm** have been evaluated to **OA= 75.87%** and **mIoU=53.44%**. 
+With the evaluation protocol, the **FLAIR-INC_rgb_15cl_mitb5-unetm** have been evaluated to **OA= 75.870%** and **mIoU=57.258%**. 
 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   	    |   0.000    |   0.000    |   0.000   |   0.000   |
 |  snow   		        |   _0.000_   |   _0.000_   |   _0.000_   |   _0.000_   |
 |  greenhouse   	    |   60.884   |   75.687   |   66.620   |   87.609   |
-| **average**             |  **53.440**    |  **65.146**  |  **65.517**  |  **65.644**  |
+| **average**             |  **57.258**    |  **69.800**  |  **70.197**  |  **70.333**  |