---
library_name: ultralytics
license: agpl-3.0
pipeline_tag: image-segmentation
---
# Model Card for Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
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.

## Paper
[Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source](https://arxiv.org/abs/2511.13417)
## 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},
}
```