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 train/BoxF1_curve.png from NMFS-OSI/yolo11m-esa-coral-icra-detector: direct link, hf CLI and curl.
- Browser
- Download file 99.3 kB
-
https://huggingface.co/NMFS-OSI/yolo11m-esa-coral-icra-detector/resolve/main/train/BoxF1_curve.png
- Command line
-
hf download hf://NMFS-OSI/yolo11m-esa-coral-icra-detector/train/BoxF1_curve.png
-
curl -L -o BoxF1_curve.png https://huggingface.co/NMFS-OSI/yolo11m-esa-coral-icra-detector/resolve/main/train/BoxF1_curve.png
99.3 kB

- Xet hash:
- 3c79e9b394853088fdd48609fb748b4579ea05f6de719906659ab642c366646c
- Size of remote file:
- 99.3 kB
- SHA256:
- 913951da05db51cafbbc35adebdc0d178b86f98486939770702b91890df66436
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