FOTBCD-Binary

A large-scale building change detection benchmark from French orthophotos and topographic data.

Dataset Description

Property	Value
Departments	28 (25 train / 3 eval)
Image pairs	~28k
Patch size	512×512
Resolution	0.2m
Annotation	Binary mask

Splits

Split	Examples
train	~26k
val	~1k
test	~1k

Features

Field	Type	Description
image_id	string	Unique identifier
image_before	Image	Before image (RGB)
image_after	Image	After image (RGB)
label	Image	Binary mask (0=unchanged, 255=changed)
dep	string	French department code
epsg	int	Coordinate reference system
patch_bounds	string	Geographic bounds (JSON)
year_before	int	Year of before image
year_after	int	Year of after image

Usage

from datasets import load_dataset

ds = load_dataset("retgenai/FOTBCD-Binary")

example = ds["train"][0]
example["image_before"].show()
example["image_after"].show()
example["label"].show()

License

• Dataset: CC BY-NC-SA 4.0
• Source: BD ORTHO / BD TOPO by IGN under Licence Ouverte 2.0

Citation

If you use FOTBCD in your research, please cite our paper:

@misc{moubane2026fotbcd,
      title={FOTBCD: A Large-Scale Building Change Detection Benchmark from French Orthophotos and Topographic Data},
      author={Abdelrrahman Moubane},
      year={2026},
      eprint={2601.22596},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2601.22596},
}

Contact

Commercial licensing (FOTBCD-220k): info@retgen.ai