---
license: mit
---
# FBIS-22M
<a href='https://lavreniuk.github.io/Delineate-Anything/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>

**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.  
**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.

---

## Dataset Structure

The dataset is split into multiple archive parts. Additional files:

| File | Description |
|------|-------------|
| `train.txt` | List of training image filenames |
| `test.txt`  | List of testing image filenames |

---

## How to Use

### Download and Recombine

1. Download all `.zip.part-*` files.  
2. Recombine them into a single `.zip` archive:

### Linux / macOS
```bash
cat FBIS-22M.zip.part-* > FBIS-22M.zip
```

### Windows
Use 7-Zip → Tools > Combine Files (select all parts).

### Extract
```
unzip FBIS-22M.zip
```

## Citation
If you find our dataset useful in your research, please consider citing it:
```
@article{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},
      journal={arXiv preprint arXiv:2504.02534},
}
```