Update README.md

README.md

@@ -8,48 +8,50 @@ metrics: IoU
 license: mit
 base_model: PekingU/rtdetr_r101vd_coco_o365
 pipeline_tag: object-detection
-results:
-- task:
-    type: object-detection
-    dataset:
-      name: keremberke/satellite-building-segmentation
-    metrics:
-    - 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
+model_index:
+- name: rt-detr-finetuned-for-satellite-image-roofs-detection
+  results:
+    - task:
+        type: object-detection
+        dataset:
+          name: keremberke/satellite-building-segmentation
+        metrics:
+        - 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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