library_name: transformers
tags:
- remote sensing
- object detection
datasets: keremberke/satellite-building-segmentation
metrics:
- Average Precision (AP)
- Average Recall (AR)
license: mit
base_model: PekingU/rtdetr_r101vd_coco_o365
pipeline_tag: object-detection
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: 0.43
- 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
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