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:
- 55e34cbae702377314f32faf87e97d1871365c1980fc787b3585f90b83b1f342
- Size of remote file:
- 526 kB
- SHA256:
- 820a23b321c6c7f67c636c3f437e2d5ac7ebdb01935e68ab2bf579f80e05f726
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