Update README.md

README.md

@@ -2,10 +2,54 @@
 library_name: transformers
 tags:
 - remote sensing
+- object detection
 datasets: keremberke/satellite-building-segmentation
+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 Card for Model ID