YOLO26n Face Detection

Fine-tuned YOLO26n (nano) model for single-class face detection, trained on the WIDER FACE dataset.


Installation

pip install ultralytics huggingface_hub

Quick Start / Usage

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

# Download weights from this Hugging Face repository
path = hf_hub_download(repo_id="Shubham12864/YOLO26n-face", filename="yolo26 widerdataset.pt")

# Load model
model = YOLO(path)

# Run detection on an image
results = model.predict("your_image.jpg")

# Display results
results[0].show()

Model Details

  • Model Architecture: YOLO26 nano (YOLO26n)
  • Task: Single-class Object Detection (face)
  • Dataset: WIDER FACE
  • Framework: Ultralytics / PyTorch
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Dataset used to train Shubham12864/YOLO26n-face

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