Object Detection
ultralytics
PyTorch
computer-vision
deep-learning
yolo
marine-biology
fathomnet
cvpr
positive-unlabeled-learning
competition-solution
Instructions to use Nihil-Drf/FathomNet-2026-4thplace-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Nihil-Drf/FathomNet-2026-4thplace-Model 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("Nihil-Drf/FathomNet-2026-4thplace-Model", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!