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:
- 03bb9cc27a48be318a172c872bb94f750a31d7e2226f1fa38ebccc938cc85157
- Size of remote file:
- 551 kB
- SHA256:
- bbcb83d5ff65fe00ec44fc4b3db95dacccc78e9c96d46fffc637774deb0f08d3
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