Model Details
Full Model IDiitolstykh/YOLO-Face-Person-Detector
Pipeline / Taskobject-detection
Libraryultralytics
Downloads (all-time)75.5K
Likes29
Last Modified11/28/2025
Author / Orgiitolstykh
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="iitolstykh/YOLO-Face-Person-Detector")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ultralyticssafetensorsyolov8yoloobject-detectioncomputer-visionface-detectionperson-detectioncustom_codearxiv:2307.04616arxiv:2403.02302arxiv:2407.12632license:agpl-3.0region:us
More Object Detection Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🔍 Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads75.5K
❤️ Community Likes29
🛠️ Requirements
- →Install: pip install ultralytics
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.