Instructions to use melihuzunoglu/human-fall-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use melihuzunoglu/human-fall-detection with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("melihuzunoglu/human-fall-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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license: agpl-3.0
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# Human Fall Detection with YOLOv11
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This model is a specialized version of YOLOv11, fine-tuned to detect human falls in various environments. It is designed to provide real-time alerts for safety monitoring in elderly care facilities, hospitals, and industrial workplaces.
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license: agpl-3.0
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# Human Fall Detection with YOLOv11
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This model is a specialized version of YOLOv11, fine-tuned to detect human falls in various environments. It is designed to provide real-time alerts for safety monitoring in elderly care facilities, hospitals, and industrial workplaces.
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