---
base_model: PekingU/rtdetr_r101vd_coco_o365
datasets: keremberke/satellite-building-segmentation
library_name: transformers
license: mit
metrics:
- Average Precision (AP)
- Average Recall (AR)
pipeline_tag: object-detection
tags:
- remote sensing
- object detection
widget:
- src: img.png
  output:
    url: img.png
model-index:
- name: rt-detr-finetuned-for-satellite-image-roofs-detection
  results:
  - 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

Roof Detection for Remote Sensing task.
<!-- Provide a quick summary of what the model is/does. -->



## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

- **Model type:** Object Detection for Remote Sensing task.
- **License:** MIT

### Model Sources 

<!-- Provide the basic links for the model. -->

- **GitHub:** [Jupyter Notebook](https://github.com/ownEyes/satellite-image-roofs-auto-annotation-sourcecode/blob/dev/notebooks/finetune_rtdetr.ipynb)
- **Demo:** [Pending]




## Limitations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.

## How to Get Started with the Model

Use the code below to get started with the model.
```python
from transformers import AutoModelForObjectDetection, AutoImageProcessor

model = AutoModelForObjectDetection.from_pretrained("Yifeng-Liu/rt-detr-finetuned-for-satellite-image-roofs-detection")
image_processor = AutoImageProcessor.from_pretrained("Yifeng-Liu/rt-detr-finetuned-for-satellite-image-roofs-detection")
```