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
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Download hero.svg from TechsphereAI/FactoryVision-PPE-YOLO: direct link, hf CLI and curl.
- Browser
- Download file 2.64 kB
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https://huggingface.co/TechsphereAI/FactoryVision-PPE-YOLO/resolve/main/hero.svg
- Command line
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hf download hf://TechsphereAI/FactoryVision-PPE-YOLO/hero.svg
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curl -L -o hero.svg https://huggingface.co/TechsphereAI/FactoryVision-PPE-YOLO/resolve/main/hero.svg
2.64 kB
| <svg xmlns="http://www.w3.org/2000/svg" width="1200" height="360" viewBox="0 0 1200 360" role="img" aria-labelledby="title description"> | |
| <title id="title">FactoryVision AI PPE detection</title> | |
| <desc id="description">Industrial safety helmet and detection frame on a dark technical background.</desc> | |
| <defs> | |
| <linearGradient id="background" x1="0" y1="0" x2="1" y2="1"> | |
| <stop offset="0" stop-color="#10253d"/> | |
| <stop offset="1" stop-color="#183f55"/> | |
| </linearGradient> | |
| <linearGradient id="accent" x1="0" y1="0" x2="1" y2="1"> | |
| <stop offset="0" stop-color="#5eead4"/> | |
| <stop offset="1" stop-color="#38bdf8"/> | |
| </linearGradient> | |
| <pattern id="grid" width="32" height="32" patternUnits="userSpaceOnUse"> | |
| <path d="M32 0H0V32" fill="none" stroke="#9cc5d3" stroke-opacity=".09"/> | |
| </pattern> | |
| </defs> | |
| <rect width="1200" height="360" rx="26" fill="url(#background)"/> | |
| <rect width="1200" height="360" rx="26" fill="url(#grid)"/> | |
| <circle cx="1020" cy="180" r="205" fill="#38bdf8" opacity=".07"/> | |
| <path d="M0 292h1200" stroke="#5eead4" stroke-opacity=".18"/> | |
| <text x="74" y="115" fill="#5eead4" font-family="Arial,sans-serif" font-size="18" font-weight="700" letter-spacing="4">FACTORYVISION AI / COMPUTER VISION</text> | |
| <text x="74" y="183" fill="#f4f8fb" font-family="Arial,sans-serif" font-size="48" font-weight="700">PPE Detection</text> | |
| <text x="76" y="226" fill="#b9cfda" font-family="Arial,sans-serif" font-size="22">YOLO11n | Safety equipment recognition</text> | |
| <rect x="76" y="258" width="220" height="38" rx="19" fill="#5eead4" fill-opacity=".12" stroke="#5eead4" stroke-opacity=".6"/> | |
| <text x="96" y="283" fill="#baf7ed" font-family="Arial,sans-serif" font-size="15" font-weight="700" letter-spacing="1">HUMAN REVIEW REQUIRED</text> | |
| <rect x="798" y="42" width="322" height="274" rx="18" fill="#0b1828" fill-opacity=".48" stroke="#7edbd1" stroke-opacity=".44"/> | |
| <path d="M908 240v-42c0-47 34-82 75-82s75 35 75 82v42h-150z" fill="#dbe8ed"/> | |
| <path d="M971 113V96h24v17M890 197h186" fill="none" stroke="#dbe8ed" stroke-linecap="round" stroke-width="12"/> | |
| <path d="M875 72h-32v32M875 286h-32v-32M1091 72h32v32M1091 286h32v-32" fill="none" stroke="url(#accent)" stroke-linecap="round" stroke-width="5"/> | |
| <rect x="880" y="65" width="206" height="229" rx="8" fill="none" stroke="#5eead4" stroke-dasharray="8 8" stroke-opacity=".7"/> | |
| <rect x="897" y="254" width="134" height="30" rx="6" fill="#5eead4"/> | |
| <text x="910" y="274" fill="#10253d" font-family="Arial,sans-serif" font-size="14" font-weight="700">PPE OBJECT</text> | |
| </svg> | |