Add pipeline tag

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](https://huggingface.co/papers/2511.13417).

Feel free to merge if this looks good!

README.md

@@ -1,6 +1,7 @@
 ---
-license: agpl-3.0
 library_name: ultralytics
+license: agpl-3.0
+pipeline_tag: image-segmentation
 ---
 
 # Model Card for Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
@@ -10,8 +11,26 @@ library_name: ultralytics
 <a href='https://arxiv.org/abs/2511.13417'><img src='https://img.shields.io/badge/Paper-DelAnyFlow-red'></a>
 <a href='https://github.com/Lavreniuk/Delineate-Anything'><img src='https://img.shields.io/badge/Code-GitHub-blue'></a>
 
-by [Mykola Lavreniuk](https://scholar.google.com/citations?hl=en&user=-oFR-RYAAAAJ), [Nataliia Kussul](https://scholar.google.com/citations?user=e3TWBuwAAAAJ&hl=en), [Andrii Shelestov](https://scholar.google.com/citations?user=tqoQKZAAAAAJ&hl=en), [Bohdan Yailymov](https://scholar.google.com/citations?user=XaN-oukAAAAJ&hl=en), [Yevhenii Salii](https://scholar.google.com/citations?user=4jgAsBIAAAAJ&hl=en), [Volodymyr Kuzin](https://www.researchgate.net/profile/Volodymyr-Kuzin), [Zoltan Szantoi](https://scholar.google.com/citations?user=P_pyhi8AAAAJ&hl=en)
+by [Mykola Lavreniuk](https://scholar.google.com/citations?hl=en&user=-oFR-RYAAAAJ), [Nataliia Kussul](https://scholar.google.com/citations?user=e3TWBuwAAAAJ&hl=en), [Andrii Shelestov](https://scholar.google.com/citations?user=tqoQKZAAAAAJ&hl=en), [Yevhenii Salii](https://scholar.google.com/citations?user=4jgAsBIAAAAJ&hl=en), [Volodymyr Kuzin](https://www.researchgate.net/profile/Volodymyr-Kuzin), [Sergii Skakun](https://scholar.google.com/citations?user=G9_6G6IAAAAJ&hl=en), [Zoltan Szantoi](https://scholar.google.com/citations?user=P_pyhi8AAAAJ&hl=en)
+
+**Delineate Anything Flow (DelAnyFlow)** is a resolution-agnostic methodology for fast, country-level agricultural field boundary detection from satellite imagery. It utilizes the **DelAny** instance segmentation model, which is based on a YOLOv11 backbone and trained on the large-scale Field Boundary Instance Segmentation-22M (FBIS 22M) dataset.
+
+DelAny delivers state-of-the-art accuracy, showing significantly higher mAP and faster inference than alternatives like SAM2. It supports national-scale applications, having been used to generate a complete field boundary layer for Ukraine (603,000 km²) in under six hours.
+
+![intro](figs/intro.jpg)
 
-Trained on the 22M+ instances in the FBIS-22M dataset, **Delineate Anything** sets a new SOTA by accurately delineating individual agricultural field boundaries across diverse satellite resolutions and geographic regions.
+## Paper
+[Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source](https://arxiv.org/abs/2511.13417)
 
-![intro](figs/intro.jpg)
+## Citation
+```bibtex
+@misc{lavreniuk2025delineate,
+      title={Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source}, 
+      author={Mykola Lavreniuk and Nataliia Kussul and Andrii Shelestov and Yevhenii Salii and Volodymyr Kuzin and Sergii Skakun and Zoltan Szantoi},
+      year={2025},
+      eprint={2511.13417},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2511.13417}, 
+}
+```