AdamCodd/YOLOv11n-face-detection

🤗 Hugging Face sourceobject-detectionapache-2.043 MBother✓ 5 checksumsupdated today

Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo AdamCodd/YOLOv11n-face-detection ./model-folder

Needs a seeder →

YOLOv11n-Face-Detection

A lightweight face detection model based on YOLO architecture (YOLOv11 nano), trained for 225 epochs on the WIDERFACE dataset.

It achieves the following results on the evaluation set:

==================== Results ====================
Easy   Val AP: 0.9420471677096086
Medium Val AP: 0.9210357271019756
Hard   Val AP: 0.8099848364072022
=================================================

YOLO results:

Confusion matrix:

[[23577 2878]

[16098 0]]

Usage

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

model_path = hf_hub_download(repo_id="AdamCodd/YOLOv11n-face-detection", filename="model.pt")
model = YOLO(model_path)

results = model.predict("/path/to/your/image", save=True) # saves the result in runs/detect/predict

Limitations

Performance may vary in extreme lighting conditions
Best suited for frontal and slightly angled faces
Optimal performance for faces occupying >20 pixels