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ndunge23
/
SambaGuard-v2

Object Detection
ultralytics
LiteRT
ONNX
yolov8
agriculture
computer-vision
pest-detection
fall-armyworm
precision-agriculture
kenya
Model card Files Files and versions
xet
Community

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
SambaGuard-v2 / training_samples
2.08 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ndunge23's picture
ndunge23
Upload folder using huggingface_hub
a452d49 verified 28 days ago
  • train_batch0.jpg
    698 kB
    xet
    Upload folder using huggingface_hub 28 days ago
  • train_batch1.jpg
    696 kB
    xet
    Upload folder using huggingface_hub 28 days ago
  • train_batch2.jpg
    690 kB
    xet
    Upload folder using huggingface_hub 28 days ago