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###
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}
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```
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---
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license: mit
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---
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# FBIS-22M
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<a href='https://lavreniuk.github.io/Delineate-Anything/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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**Field Boundary Instance Segmentation - 22M dataset (FBIS-22M)** - large-scale, multi-resolution dataset comprising 672,909 high-resolution satellite image patches (0.25 m – 10 m) and 22,926,427 instance masks of individual fields.
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**Note:** We have excluded images from the Pleiades satellite mission due to third-party usage policies. This does not impact the dataset’s coverage or quality.
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---
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## Dataset Structure
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The dataset is split into multiple archive parts. Additional files:
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| File | Description |
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|------|-------------|
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| `train.txt` | List of training image filenames |
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| `test.txt` | List of testing image filenames |
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---
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## How to Use
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### Download and Recombine
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1. Download all `.zip.part-*` files.
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2. Recombine them into a single `.zip` archive:
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### Linux / macOS
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```bash
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cat FBIS-22M.zip.part-* > FBIS-22M.zip
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```
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### Windows
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Use 7-Zip → Tools > Combine Files (select all parts).
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### Extract
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```
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unzip FBIS-22M.zip
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```
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## Citation
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If you find our dataset useful in your research, please consider citing it:
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```
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@article{lavreniuk2025delineateanything,
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title={Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery},
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author={Mykola Lavreniuk and Nataliia Kussul and Andrii Shelestov and Bohdan Yailymov and Yevhenii Salii and Volodymyr Kuzin and Zoltan Szantoi},
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year={2025},
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journal={arXiv preprint arXiv:2504.02534},
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}
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```
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