---
license: agpl-3.0
library: ultralytics
tags:
- object-detection
- pytorch
- coco
- p2-layer
- yolo11
- yolov11
- yolox11-p2
- yolovx11-p2
---

# YOLO11-p2 COCO Pretrained Model

This model is a YOLO11-p2 model trained on the COCO dataset, **with P2-P5 output layers.**

## Example Usage

```angular2html
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
from PIL import Image

model_path = hf_hub_download("soyeollee/yolo11x-p2-coco", "model.pt")
model = YOLO(model_path)

image_path = "/path/to/image"
output = model(Image.open(image_path))
```


## Performance

| metric (maxDets=100)                                                | yolov8x <br/>(official) | [yolov8x-p2](https://huggingface.co/soyeollee/yolov8x-p2-coco) | [yolov8x-p26](https://huggingface.co/soyeollee/yolov8x-p26-coco) | yolov11x <br/>(official) | yolo11x-p2<br/>(this repo) |
|--------------------------------------------------------|--------------------|----------------------------|------------------------------------------------------------------|---------------------|----------------------------|
| AP @[ IoU=0.50:0.95 / area=   all ] | **0.540**          | **0.541**                  | **0.544**                                                        | **0.546**           | **0.553**                  |
| AP @[ IoU=0.50      / area=   all ] | 0.710              | 0.712                      | 0.713                                                            | 0.716               | 0.722                      |
| AP @[ IoU=0.75      / area=   all ] | 0.588              | 0.590                      | 0.593                                                            | 0.595               | 0.606                      |
| AP @[ IoU=0.50:0.95 / area= small ] | 0.360              | 0.386                      | 0.381                                                            | 0.377               | 0.386                      |
| AP @[ IoU=0.50:0.95 /area=medium  ] | 0.594              | 0.586                      | 0.586                                                            | 0.597               | 0.595                      |
| AP @[ IoU=0.50:0.95 / area= large ] | 0.707              | 0.686                      | 0.691                                                            | 0.702               | 0.702                      |