Object Detection
ultralytics
English
industrial-vision
factoryvision-ai
ppe-detection
education
yolo11
Instructions to use TechsphereAI/FactoryVision-PPE-YOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use TechsphereAI/FactoryVision-PPE-YOLO with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("TechsphereAI/FactoryVision-PPE-YOLO", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 720 Bytes
14e0b6c 8b2671b 8d21721 14e0b6c 8b2671b 14e0b6c | 1 2 3 4 5 6 7 8 9 10 | Source: https://github.com/Theivanth/Factory-Vision-AI
Original Project Developer and Model Author: Theivanth Rajamohan
Technical Reviewer, Code Contributor and Hugging Face Publication Support: [Swapin Vidya](https://huggingface.co/Swapinvidya)
Project Contributor: Rajah Shanmugasundaram (https://huggingface.co/rajahshan)
Publishing Organisation: TechSphere Consultancy Services Private Limited
Hugging Face: https://huggingface.co/TechsphereAI
Official Website: https://techsphereconsultancy.com/
[Swapin Vidya](https://huggingface.co/Swapinvidya)'s merged contribution: https://github.com/Theivanth/Factory-Vision-AI/pull/1
Model checkpoint SHA-256: f5e40e04ea7819a0b6cb9579b28c4e4f4227c7b6941d924c8b2beeee39f127c8
|