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:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("MykolaL/DelineateAnything") 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.