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:
- a8d26dbef4d4b376dd983de3270f42a650dd057b36a195b6e3d2979cb98bc94a
- Size of remote file:
- 22.5 MB
- SHA256:
- 58b6f5c07d9ce77dc643cee9a821e48861fc02b1ca81b1083a415a11efaa170b
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