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
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- yolov8
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- tfjs
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- hard-hat
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This model is built using tfjs and is based on the YOLOv8n architecture. It is capable of detecting two classes of objects: people wearing safety helmets and those who are not.
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- yolov8
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- tfjs
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- hard-hat
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- ultralytics
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- yolo
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- object-detection
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libray_name: ultralytics
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This model is built using tfjs and is based on the YOLOv8n architecture. It is capable of detecting two classes of objects: people wearing safety helmets and those who are not.
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