Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8n-hard-hat-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8n-hard-hat-detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8n-hard-hat-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07d7021399afb619de3fd861c4f2b711901bcc58e30d6becacabbdf5229dc200
- Size of remote file:
- 6.23 MB
- SHA256:
- 05ed3a517485292d42d6eb6c9be3987ea51cd162e04807d2741eadcac8a19e6c
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