Update README.md

README.md

@@ -8,7 +8,7 @@ metrics: IoU
 license: mit
 base_model: PekingU/rtdetr_r101vd_coco_o365
 pipeline_tag: object-detection
-model_index:
+model-index:
 - name: rt-detr-finetuned-for-satellite-image-roofs-detection
   results:
     - task:
@@ -20,6 +20,39 @@ model_index:
       - name: Average Precision @ IoU=0.50:0.95 | area=all | maxDets=100
         type: AP (IoU=0.50:0.95)
         value: 0.430
+      - name: Average Precision @ IoU=0.50 | area=all | maxDets=100
+        type: AP (IoU=0.50)
+        value: 0.636
+      - name: Average Precision @ IoU=0.75 | area=all | maxDets=100
+        type: AP (IoU=0.75)
+        value: 0.462
+      - name: Average Precision @ IoU=0.50:0.95 | area=small | maxDets=100
+        type: AP (IoU=0.50:0.95) small objects
+        value: 0.241
+      - name: Average Precision @ IoU=0.50:0.95 | area=medium | maxDets=100
+        type: AP (IoU=0.50:0.95) medium objects
+        value: 0.513
+      - name: Average Precision @ IoU=0.50:0.95 | area=large | maxDets=100
+        type: AP (IoU=0.50:0.95) large objects
+        value: 0.624
+      - name: Average Recall @ IoU=0.50:0.95 | area=all | maxDets=1
+        type: AR (IoU=0.50:0.95) maxDets=1
+        value: 0.055
+      - name: Average Recall @ IoU=0.50:0.95 | area=all | maxDets=10
+        type: AR (IoU=0.50:0.95) maxDets=10
+        value: 0.327
+      - name: Average Recall @ IoU=0.50:0.95 | area=all | maxDets=100
+        type: AR (IoU=0.50:0.95) maxDets=100
+        value: 0.507
+      - name: Average Recall @ IoU=0.50:0.95 | area=small | maxDets=100
+        type: AR (IoU=0.50:0.95) small objects
+        value: 0.312
+      - name: Average Recall @ IoU=0.50:0.95 | area=medium | maxDets=100
+        type: AR (IoU=0.50:0.95) medium objects
+        value: 0.595
+      - name: Average Recall @ IoU=0.50:0.95 | area=large | maxDets=100
+        type: AR (IoU=0.50:0.95) large objects
+        value: 0.712
 ---
 
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