AdamCodd/YOLOv11x-face-detection

🤗 Hugging Face sourceobject-detectionapache-2.0342 MBother✓ 3 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/YOLOv11x-face-detection ./model-folder

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YOLOv11x-Face-Detection

A lightweight face detection model based on YOLO architecture (YOLOv11 xlarge), trained for 100 epochs on the WIDERFACE dataset. It's way more accurate than my YOLOv11n model, but slower.

It achieves the following results on the evaluation set:

==================== Results ====================
Easy   Val AP: 0.9629194049702874
Medium Val AP: 0.9519172409689101
Hard   Val AP: 0.8800338681974709
=================================================

YOLO results:

Confusion matrix:

[[27338 3110]

[12337 0]]

Usage

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

model_path = hf_hub_download(repo_id="AdamCodd/YOLOv11x-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