| --- |
| license: cc-by-4.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| dataset_info: |
| features: |
| - name: image_id |
| dtype: string |
| - name: image_before |
| dtype: image |
| - name: image_after |
| dtype: image |
| - name: label |
| dtype: image |
| - name: dep |
| dtype: string |
| - name: epsg |
| dtype: int32 |
| - name: patch_size |
| list: int32 |
| - name: patch_bounds |
| dtype: string |
| - name: year_before |
| dtype: int32 |
| - name: year_after |
| dtype: int32 |
| splits: |
| - name: train |
| num_bytes: 19237579701 |
| num_examples: 25908 |
| - name: validation |
| num_bytes: 778303470 |
| num_examples: 984 |
| - name: test |
| num_bytes: 771375873 |
| num_examples: 979 |
| download_size: 20780292545 |
| dataset_size: 20787259044 |
| task_categories: |
| - mask-generation |
| - image-segmentation |
| tags: |
| - Geospatial |
| - Remote Sensing |
| - Building Change Detection |
| size_categories: |
| - 10K<n<100K |
| --- |
| # 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 |
|
|
| ```python |
| 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 |
|
|
| - **Source**: BD ORTHO / BD TOPO by IGN under [Licence Ouverte 2.0](https://alliance.numerique.gouv.fr/licence-ouverte-open-licence/) |
|
|
| ## Citation |
|
|
| If you use FOTBCD in your research, please cite our paper: |
|
|
| ```bibtex |
| @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}, |
| } |
| ``` |
