Object Detection
ultralytics
pcb-defect-detection
yolov8
industrial-inspection
domain-generalization
gerber
automated-optical-inspection
Instructions to use pulipakav-1/gerberformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use pulipakav-1/gerberformer with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("pulipakav-1/gerberformer") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a600ae7cff52fac3b437fafe65e70ce5c1f1b553cd494fb00e1af127e9c4b56
- Size of remote file:
- 22.5 MB
- SHA256:
- e790265489acba5d1a36e7ecd28f41833d1a275c7876e7b6301ccbda65017f07
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