Upload RTDetrForObjectDetection

README.md

@@ -1,64 +1,64 @@
 ---
-library_name: transformers
-tags:
-- remote sensing
-- object detection
+base_model: PekingU/rtdetr_r101vd_coco_o365
 datasets: keremberke/satellite-building-segmentation
+library_name: transformers
+license: mit
 metrics:
 - Average Precision (AP)
 - Average Recall (AR)
-license: mit
-base_model: PekingU/rtdetr_r101vd_coco_o365
 pipeline_tag: object-detection
+tags:
+- remote sensing
+- object detection
 widget:
-  - src: img.png
-    output:
-      url: img.png
+- src: img.png
+  output:
+    url: img.png
 model-index:
 - name: rt-detr-finetuned-for-satellite-image-roofs-detection
   results:
-    - task:
-        type: object-detection
-      dataset:
-        type: image-segmentation
-        name: keremberke/satellite-building-segmentation
-      metrics:
-      - name: AP @ IoU=0.50:0.95 | area=all | maxDets=100
-        type: AP (IoU=0.50:0.95)
-        value: 0.430
-      - name: AP @ IoU=0.50 | area=all | maxDets=100
-        type: AP (IoU=0.50)
-        value: 0.636
-      - name: AP @ IoU=0.75 | area=all | maxDets=100
-        type: AP (IoU=0.75)
-        value: 0.462
-      - name: AP @ IoU=0.50:0.95 | area=small | maxDets=100
-        type: AP (IoU=0.50:0.95) small objects
-        value: 0.241
-      - name: AP @ IoU=0.50:0.95 | area=medium | maxDets=100
-        type: AP (IoU=0.50:0.95) medium objects
-        value: 0.513
-      - name: AP @ IoU=0.50:0.95 | area=large | maxDets=100
-        type: AP (IoU=0.50:0.95) large objects
-        value: 0.624
-      - name: AR @ IoU=0.50:0.95 | area=all | maxDets=1
-        type: AR (IoU=0.50:0.95) maxDets=1
-        value: 0.055
-      - name: AR @ IoU=0.50:0.95 | area=all | maxDets=10
-        type: AR (IoU=0.50:0.95) maxDets=10
-        value: 0.327
-      - name: AR @ IoU=0.50:0.95 | area=all | maxDets=100
-        type: AR (IoU=0.50:0.95) maxDets=100
-        value: 0.507
-      - name: AR @ IoU=0.50:0.95 | area=small | maxDets=100
-        type: AR (IoU=0.50:0.95) small objects
-        value: 0.312
-      - name: AR @ IoU=0.50:0.95 | area=medium | maxDets=100
-        type: AR (IoU=0.50:0.95) medium objects
-        value: 0.595
-      - name: AR @ IoU=0.50:0.95 | area=large | maxDets=100
-        type: AR (IoU=0.50:0.95) large objects
-        value: 0.712
+  - task:
+      type: object-detection
+    dataset:
+      name: keremberke/satellite-building-segmentation
+      type: image-segmentation
+    metrics:
+    - type: AP (IoU=0.50:0.95)
+      value: 0.43
+      name: AP @ IoU=0.50:0.95 | area=all | maxDets=100
+    - type: AP (IoU=0.50)
+      value: 0.636
+      name: AP @ IoU=0.50 | area=all | maxDets=100
+    - type: AP (IoU=0.75)
+      value: 0.462
+      name: AP @ IoU=0.75 | area=all | maxDets=100
+    - type: AP (IoU=0.50:0.95) small objects
+      value: 0.241
+      name: AP @ IoU=0.50:0.95 | area=small | maxDets=100
+    - type: AP (IoU=0.50:0.95) medium objects
+      value: 0.513
+      name: AP @ IoU=0.50:0.95 | area=medium | maxDets=100
+    - type: AP (IoU=0.50:0.95) large objects
+      value: 0.624
+      name: AP @ IoU=0.50:0.95 | area=large | maxDets=100
+    - type: AR (IoU=0.50:0.95) maxDets=1
+      value: 0.055
+      name: AR @ IoU=0.50:0.95 | area=all | maxDets=1
+    - type: AR (IoU=0.50:0.95) maxDets=10
+      value: 0.327
+      name: AR @ IoU=0.50:0.95 | area=all | maxDets=10
+    - type: AR (IoU=0.50:0.95) maxDets=100
+      value: 0.507
+      name: AR @ IoU=0.50:0.95 | area=all | maxDets=100
+    - type: AR (IoU=0.50:0.95) small objects
+      value: 0.312
+      name: AR @ IoU=0.50:0.95 | area=small | maxDets=100
+    - type: AR (IoU=0.50:0.95) medium objects
+      value: 0.595
+      name: AR @ IoU=0.50:0.95 | area=medium | maxDets=100
+    - type: AR (IoU=0.50:0.95) large objects
+      value: 0.712
+      name: AR @ IoU=0.50:0.95 | area=large | maxDets=100
 ---
 
 # Model Card

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7dfd6856503a0ee589f1d3ecb08a0002bf936d696c22d68d92040f516ed4accb
 size 306681604