---
license: apache-2.0
metrics:
- accuracy
pipeline_tag: object-detection
datasets:
- Ultralytics/COCO8
language:
- en
base_model:
- PekingU/rtdetr_r101vd
---

## Usage:
```python
from transformers import AutoModelForObjectDetection, AutoImageProcessor
from PIL import Image
import requests

# Load model and processor
model = AutoModelForObjectDetection.from_pretrained("your-username/rtdetr-coco8")
processor = AutoImageProcessor.from_pretrained("your-username/rtdetr-coco8")

# Load an image for object detection
def fetch_image(url):
    return Image.open(requests.get(url, stream=True).raw)

image = fetch_image("https://ultralytics.com/images/zidane.jpg")

# Perform inference
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)

# Print detected objects
print(outputs)