Object Detection
ultralytics
ONNX
English
YOLO11m-detector
yolo
yolo11
yolo11m
coral
icra
sea
marine-detection
Instructions to use NMFS-OSI/yolo11m-esa-coral-icra-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use NMFS-OSI/yolo11m-esa-coral-icra-detector 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("NMFS-OSI/yolo11m-esa-coral-icra-detector", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download notes_01.png from NMFS-OSI/yolo11m-esa-coral-icra-detector: direct link, hf CLI and curl.
- Browser
- Download file 602 kB
-
https://huggingface.co/NMFS-OSI/yolo11m-esa-coral-icra-detector/resolve/main/notes_01.png
- Command line
-
hf download hf://NMFS-OSI/yolo11m-esa-coral-icra-detector/notes_01.png
-
curl -L -o notes_01.png https://huggingface.co/NMFS-OSI/yolo11m-esa-coral-icra-detector/resolve/main/notes_01.png
602 kB

- Xet hash:
- 2b21b27f64808ad3631705938ae7323351b0d8ad8b5c9d821a4a389329bc344e
- Size of remote file:
- 602 kB
- SHA256:
- 070ac662cfa4d06fb276b225e2bf1241dee910dea571c407c9d0db1699993229
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