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:
- 935aa788e325e5d6691bf8bd3800452be2a35b521c206b671bd8b60c15d3938e
- Size of remote file:
- 6.25 MB
- SHA256:
- 06297f6c2d27bd157297866e526710e8ffc06b5c04da28ab77db949e805c141c
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