Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8m-hard-hat-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8m-hard-hat-detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8m-hard-hat-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 31a81c7
add ultralyticsplus config
Browse files- config.json +1 -1
config.json
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{"input_size": 640, "task": "object-detection", "ultralyticsplus_version": "0.0.
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{"input_size": 640, "task": "object-detection", "ultralyticsplus_version": "0.0.24", "ultralytics_version": "8.0.23", "model_type": "v8", "score_map50": 0.81115}
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