Instructions to use lanseria/yolov8n-hard-hat-detection_web_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use lanseria/yolov8n-hard-hat-detection_web_model with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("lanseria/yolov8n-hard-hat-detection_web_model") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d669faa91448ff1a914f7b1debb908d93c043dfccf34b92bd0b8b7fa0cac14d6
- Size of remote file:
- 3.8 MB
- SHA256:
- 5bfa58595c8b36ccf42518f619e2ae014dd8c05edbe1af251ab57db45ffca13c
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