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license: mit |
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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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``` |
