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:
- 928be3197e2626ff17f85fec6a4c17e82e58c8d8c4248014b5bd64d70aed506b
- Size of remote file:
- 4.19 MB
- SHA256:
- b1c6a54138c5ab35860f93e6a2882419f536466af43849f5ee07f59df8536d30
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