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  1. README.md +15 -13
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@@ -4,7 +4,9 @@ tags:
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  - remote sensing
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  - object detection
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  datasets: keremberke/satellite-building-segmentation
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- metrics: IoU
 
 
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  license: mit
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  base_model: PekingU/rtdetr_r101vd_coco_o365
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  pipeline_tag: object-detection
@@ -17,40 +19,40 @@ model-index:
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  type: image-segmentation
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  name: keremberke/satellite-building-segmentation
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  metrics:
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- - name: Average Precision @ IoU=0.50:0.95 | area=all | maxDets=100
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  type: AP (IoU=0.50:0.95)
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  value: 0.430
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- - name: Average Precision @ IoU=0.50 | area=all | maxDets=100
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  type: AP (IoU=0.50)
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  value: 0.636
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- - name: Average Precision @ IoU=0.75 | area=all | maxDets=100
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  type: AP (IoU=0.75)
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  value: 0.462
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- - name: Average Precision @ IoU=0.50:0.95 | area=small | maxDets=100
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  type: AP (IoU=0.50:0.95) small objects
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  value: 0.241
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- - name: Average Precision @ IoU=0.50:0.95 | area=medium | maxDets=100
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  type: AP (IoU=0.50:0.95) medium objects
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  value: 0.513
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- - name: Average Precision @ IoU=0.50:0.95 | area=large | maxDets=100
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  type: AP (IoU=0.50:0.95) large objects
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  value: 0.624
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- - name: Average Recall @ IoU=0.50:0.95 | area=all | maxDets=1
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  type: AR (IoU=0.50:0.95) maxDets=1
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  value: 0.055
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- - name: Average Recall @ IoU=0.50:0.95 | area=all | maxDets=10
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  type: AR (IoU=0.50:0.95) maxDets=10
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  value: 0.327
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- - name: Average Recall @ IoU=0.50:0.95 | area=all | maxDets=100
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  type: AR (IoU=0.50:0.95) maxDets=100
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  value: 0.507
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- - name: Average Recall @ IoU=0.50:0.95 | area=small | maxDets=100
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  type: AR (IoU=0.50:0.95) small objects
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  value: 0.312
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- - name: Average Recall @ IoU=0.50:0.95 | area=medium | maxDets=100
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  type: AR (IoU=0.50:0.95) medium objects
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  value: 0.595
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- - name: Average Recall @ IoU=0.50:0.95 | area=large | maxDets=100
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  type: AR (IoU=0.50:0.95) large objects
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  value: 0.712
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  ---
 
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  - remote sensing
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  - object detection
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  datasets: keremberke/satellite-building-segmentation
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+ metrics:
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+ - Average Precision (AP)
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+ - Average Recall (AR)
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  license: mit
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  base_model: PekingU/rtdetr_r101vd_coco_o365
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  pipeline_tag: object-detection
 
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  type: image-segmentation
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  name: keremberke/satellite-building-segmentation
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  metrics:
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+ - name: AP @ IoU=0.50:0.95 | area=all | maxDets=100
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  type: AP (IoU=0.50:0.95)
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  value: 0.430
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+ - name: AP @ IoU=0.50 | area=all | maxDets=100
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  type: AP (IoU=0.50)
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  value: 0.636
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+ - name: AP @ IoU=0.75 | area=all | maxDets=100
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  type: AP (IoU=0.75)
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  value: 0.462
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+ - name: AP @ IoU=0.50:0.95 | area=small | maxDets=100
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  type: AP (IoU=0.50:0.95) small objects
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  value: 0.241
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+ - name: AP @ IoU=0.50:0.95 | area=medium | maxDets=100
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  type: AP (IoU=0.50:0.95) medium objects
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  value: 0.513
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+ - name: AP @ IoU=0.50:0.95 | area=large | maxDets=100
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  type: AP (IoU=0.50:0.95) large objects
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  value: 0.624
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+ - name: AR @ IoU=0.50:0.95 | area=all | maxDets=1
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  type: AR (IoU=0.50:0.95) maxDets=1
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  value: 0.055
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+ - name: AR @ IoU=0.50:0.95 | area=all | maxDets=10
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  type: AR (IoU=0.50:0.95) maxDets=10
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  value: 0.327
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+ - name: AR @ IoU=0.50:0.95 | area=all | maxDets=100
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  type: AR (IoU=0.50:0.95) maxDets=100
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  value: 0.507
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+ - name: AR @ IoU=0.50:0.95 | area=small | maxDets=100
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  type: AR (IoU=0.50:0.95) small objects
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  value: 0.312
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+ - name: AR @ IoU=0.50:0.95 | area=medium | maxDets=100
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  type: AR (IoU=0.50:0.95) medium objects
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  value: 0.595
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+ - name: AR @ IoU=0.50:0.95 | area=large | maxDets=100
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  type: AR (IoU=0.50:0.95) large objects
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  value: 0.712
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  ---