Object Detection
ultralytics
LiteRT
TensorBoard
Core ML
ONNX
English
YOLO11n
yolo
yolo11
yolo11n
fish
Eval Results (legacy)
Instructions to use akridge/yolo11-fish-detector-grayscale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use akridge/yolo11-fish-detector-grayscale with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("akridge/yolo11-fish-detector-grayscale") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Footage Type**: Grayscale(Black-and-White) Underwater Footage
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- **Classes**: 1 (fish)
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## Demo Spaces:
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- https://huggingface.co/spaces/noaa-pifsc-ai/YOLO11_Fish-or-No-Fish-Detector-Demo_grayscale
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- https://huggingface.co/spaces/noaa-pifsc-ai/YOLO11-ONNX-Fish-Detector-Grayscale-Gradio-Demo
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## Test Results
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- **Footage Type**: Grayscale(Black-and-White) Underwater Footage
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- **Classes**: 1 (fish)
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## Test Results
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