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