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thenukegun10x
/
TinyFox-2.0

Object Detection
ultralytics
ONNX
yolo
night-vision
ir-camera
wildlife
pest-control
fox-detection
red-fox
edge-ai
int8
computer-vision
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use thenukegun10x/TinyFox-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use thenukegun10x/TinyFox-2.0 with ultralytics:

    from huggingface_hub import hf_hub_download
    from ultralytics import YOLO
    
    # pick the weights file from this repo's "Files and versions" tab
    weights = hf_hub_download("thenukegun10x/TinyFox-2.0", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
TinyFox-2.0
40.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
thenukegun10x's picture
thenukegun10x
Upload folder using huggingface_hub
725cfea verified about 1 month ago
  • evaluation
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  • .gitattributes
    2.09 kB
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  • LICENSE
    14.7 kB
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  • README.md
    17.9 kB
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  • TinyFox-2.onnx
    9.81 MB
    xet
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  • TinyFox-2.pt
    5.39 MB
    xet
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  • TinyFox-2.torchscript
    10.1 MB
    xet
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  • TinyFox-2_fp16.onnx
    4.98 MB
    xet
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  • TinyFox-2_int8.onnx
    2.76 MB
    xet
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  • TinyFox-2_last.pt
    5.39 MB
    xet
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  • config.json
    754 Bytes
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  • export_all_formats.py
    1.97 kB
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  • infer.py
    5.66 kB
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  • infer_onnx.py
    4.8 kB
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  • upload_to_hf.ps1
    1.78 kB
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  • yolo_quantizer.py
    24.2 kB
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