MykolaL_DelineateAnything

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library_name: ultralytics license: agpl-3.0 pipeline_tag: image-segmentation

Delineate Anything v2: A Global Foundation Model for Field Delineation

by Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Yevhenii Salii, Volodymyr Kuzin, Charlotte Julia Li-Xing Wang, Zoltan Szantoi

Delineate Anything v2 extends Delineate Anything into a globally representative, resolution-agnostic foundation model that scales agricultural field boundary detection to a planetary level from any imagery source. Trained on FBIS-73M, a massive 73-million-instance dataset spanning 61 countries with diverse imagery sources ranging from 0.25m to 10m resolution, built through a resolution-specific curation pipeline that solves the parcel-versus-field mismatch, Delineate Anything v2 sets a new state-of-the-art in global zero-shot delineation. It delivers a +103.3% relative gain in [email protected] over Delineate Anything while maintaining extreme efficiency, mapping all of Ukraine (603,000 km²) in 5.4 hours on a regular PC with 1 GPU NVIDIA RTX 5070 Ti 16 GB.

Papers

• Delineate Anything v2: A Global Foundation Model for Field Delineation (ECCV 2026)
• Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source
• Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery (ECAI 2025)

Citation

@inproceedings{lavreniuk2026delanyv2,
      title={Delineate Anything v2: A Global Foundation Model for Field Delineation}, 
      author={Mykola Lavreniuk and Nataliia Kussul and Andrii Shelestov and Yevhenii Salii and Volodymyr Kuzin and Charlotte Julia Li-Xing Wang and Zoltan Szantoi},
      year={2026},
      booktitle={European Conference on Computer Vision Workshops (ECCVW)},
}

@inproceedings{lavreniuk2025delineateanything,
      title={Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery}, 
      author={Mykola Lavreniuk and Nataliia Kussul and Andrii Shelestov and Bohdan Yailymov and Yevhenii Salii and Volodymyr Kuzin and Zoltan Szantoi},
      year={2025},
      booktitle={European Conference on Artificial Intelligence},
}

@article{lavreniuk2025delineateanythingflow,
      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},
      journal={[https://arxiv.org/abs/2511.13417](https://arxiv.org/abs/2511.13417)},
}