Object Detection
ultralytics
ONNX
English
computer-vision
yolo
yolov11
helmet-detection
safety
traffic-monitoring
cctv
Instructions to use Smolry/Helmet-classifer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Smolry/Helmet-classifer with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Smolry/Helmet-classifer") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8cad2574c2dd8be271922d7dceff5135fe6da7ede59c4d4413b6ccded339eb8
- Size of remote file:
- 19.2 MB
- SHA256:
- 3a1a48307e848a5306da10411f8840710577c852f4660eecda0bccef57dfb12e
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