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 labels.json from TechsphereAI/FactoryVision-PPE-YOLO: direct link, hf CLI and curl.
- Browser
- Download file 149 Bytes
-
https://huggingface.co/TechsphereAI/FactoryVision-PPE-YOLO/resolve/main/labels.json
- Command line
-
hf download hf://TechsphereAI/FactoryVision-PPE-YOLO/labels.json
-
curl -L -o labels.json https://huggingface.co/TechsphereAI/FactoryVision-PPE-YOLO/resolve/main/labels.json
149 Bytes
| [ | |
| "Hardhat", | |
| "Mask", | |
| "NO-Hardhat", | |
| "NO-Mask", | |
| "NO-Safety Vest", | |
| "Person", | |
| "Safety Cone", | |
| "Safety Vest", | |
| "machinery", | |
| "vehicle" | |
| ] | |