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YOLOv11n-face-detection
Tsaicrab/YOLOv11n-face-detection
YOLOv11n-face-detection is a object detection model from Tsaicrab. Use it when you need objects located in an image. The card lists the license as apache-2.0.
A lightweight face detection model based on YOLO architecture (YOLOv11 nano), trained for 225 epochs on the WIDERFACE dataset.
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At a glance
- Task
- Object Detection
- License
- apache-2.0
- Access
- Public
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- ab2d1708
Base models
Model card
From the Hugging Face model README
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:
[[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
- Task
- Object Detection
- License
- apache-2.0
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026