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
|
Download SOURCE.md from TechsphereAI/FactoryVision-PPE-YOLO: direct link, hf CLI and curl.
- Browser
- Download file 720 Bytes
-
https://huggingface.co/TechsphereAI/FactoryVision-PPE-YOLO/resolve/main/SOURCE.md
- Command line
-
hf download hf://TechsphereAI/FactoryVision-PPE-YOLO/SOURCE.md
-
curl -L -o SOURCE.md https://huggingface.co/TechsphereAI/FactoryVision-PPE-YOLO/resolve/main/SOURCE.md
720 Bytes
| 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 | |