Object Detection
ultralytics
English
computer-vision
yolov8
defect-detection
manufacturing
industrial-inspection
Instructions to use negi3961/factory-defect-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use negi3961/factory-defect-guard with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("negi3961/factory-defect-guard") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba6a0b876e6f5432fd34b53ab142ab702c4e56146412f6e43b65727c2e7f2079
- Size of remote file:
- 22.5 MB
- SHA256:
- 8043add358b0c0991b0f517cb2358873b5c546ce8c3eb9929ee5e72f94293253
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