Instructions to use MykolaL/DelineateAnything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use MykolaL/DelineateAnything 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("MykolaL/DelineateAnything", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add pipeline tag
#2
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
I've opened this PR to add the pipeline_tag: image-segmentation to the model metadata. This will help users discover your model when filtering for segmentation tasks on the Hugging Face Hub. I've also updated the author list and included a brief description based on your paper, Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source.
Feel free to merge if this looks good!
MykolaL changed pull request status to merged
Hi Niels, thank you very much! I have merged.