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Sponsored by
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AdamCodd / YOLOv11n-face-detection
Model's Last Updated: November 09 2025
object-detection
Introduction of YOLOv11n-face-detection
Model Details of YOLOv11n-face-detection
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:
[[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
Runs of AdamCodd YOLOv11n-face-detection on huggingface.co
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More Information About YOLOv11n-face-detection huggingface.co Model
Url of YOLOv11n-face-detection
YOLOv11n-face-detection huggingface.co Url
Provider of YOLOv11n-face-detection huggingface.co
Other API from AdamCodd
Updated:December 03 2024
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