Image Classification
ultralytics
ONNX
English
YOLO11m-cls
yolo
yolo11
yolo11m
coral
coral-reef
benthic
NOAA
marine-ecology
underwater-imagery
pacific
ncrmp
Instructions to use NMFS-OSI/yolo11m-cls-noaa-pacific-benthic-cover-t1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use NMFS-OSI/yolo11m-cls-noaa-pacific-benthic-cover-t1 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("NMFS-OSI/yolo11m-cls-noaa-pacific-benthic-cover-t1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e20ef2bb95716bbf6bfbbbf3a7bdacada40ee15e5396e0b2480b6145a52cf518
- Size of remote file:
- 20.9 MB
- SHA256:
- 0f98cd1d0e8262b715126b7b0e15935eeac67d024b84534c3a2387c0f939839d
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