Object Detection
ultralytics
LiteRT
ONNX
yolov8
agriculture
computer-vision
pest-detection
fall-armyworm
precision-agriculture
kenya
Instructions to use ndunge23/SambaGuard-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ndunge23/SambaGuard-v2 with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("ndunge23/SambaGuard-v2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 3b2d153de7965d8aae1ac460f27f3e120a767ea3af0e49c5910911ada27693bf
- Size of remote file:
- 538 kB
- SHA256:
- fe06f00cdeb7199f0004edaad32d7527c4d6301ea93deff11f974bbb3686070e
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