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Datasets:
abdevd
/
FOTBCD-Binary

Tasks:
Mask Generation
Image Segmentation
Modalities:
Image
Text
Formats:
parquet
Size:
10K - 100K
ArXiv:
Tags:
Geospatial
Remote Sensing
Building Change Detection
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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Duplicate from retgenai/FOTBCD-Binary

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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: image_id
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+ dtype: string
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+ - name: image_before
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+ dtype: image
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+ - name: image_after
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+ dtype: image
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+ - name: label
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+ dtype: image
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+ - name: dep
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+ dtype: string
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+ - name: epsg
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+ dtype: int32
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+ - name: patch_size
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+ list: int32
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+ - name: patch_bounds
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+ dtype: string
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+ - name: year_before
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+ dtype: int32
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+ - name: year_after
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+ dtype: int32
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+ splits:
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+ - name: train
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+ num_bytes: 19237579701
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+ num_examples: 25908
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+ - name: validation
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+ num_bytes: 778303470
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+ num_examples: 984
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+ - name: test
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+ num_bytes: 771375873
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+ num_examples: 979
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+ download_size: 20780292545
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+ dataset_size: 20787259044
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+ task_categories:
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+ - mask-generation
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+ - image-segmentation
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+ tags:
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+ - Geospatial
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+ - Remote Sensing
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+ - Building Change Detection
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+ # FOTBCD-Binary
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+
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+ A large-scale building change detection benchmark from French orthophotos and topographic data.
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+
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+ ## Dataset Description
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+
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+ | Property | Value |
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+ |----------|-------|
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+ | **Departments** | 28 (25 train / 3 eval) |
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+ | **Image pairs** | ~28k |
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+ | **Patch size** | 512×512 |
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+ | **Resolution** | 0.2m |
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+ | **Annotation** | Binary mask |
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+
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+ ## Splits
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+
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+ | Split | Examples |
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+ |-------|----------|
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+ | train | ~26k |
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+ | val | ~1k |
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+ | test | ~1k |
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+
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+ ## Features
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+
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+ | Field | Type | Description |
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+ |-------|------|-------------|
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+ | `image_id` | string | Unique identifier |
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+ | `image_before` | Image | Before image (RGB) |
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+ | `image_after` | Image | After image (RGB) |
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+ | `label` | Image | Binary mask (0=unchanged, 255=changed) |
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+ | `dep` | string | French department code |
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+ | `epsg` | int | Coordinate reference system |
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+ | `patch_bounds` | string | Geographic bounds (JSON) |
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+ | `year_before` | int | Year of before image |
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+ | `year_after` | int | Year of after image |
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("retgenai/FOTBCD-Binary")
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+
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+ example = ds["train"][0]
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+ example["image_before"].show()
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+ example["image_after"].show()
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+ example["label"].show()
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+ ```
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+ ## License
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+
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+ - **Dataset**: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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+ - **Source**: BD ORTHO / BD TOPO by IGN under [Licence Ouverte 2.0](https://alliance.numerique.gouv.fr/licence-ouverte-open-licence/)
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+
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+ ## Citation
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+
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+ If you use FOTBCD in your research, please cite our paper:
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+
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+ ```bibtex
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+ @misc{moubane2026fotbcd,
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+ title={FOTBCD: A Large-Scale Building Change Detection Benchmark from French Orthophotos and Topographic Data},
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+ author={Abdelrrahman Moubane},
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+ year={2026},
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+ eprint={2601.22596},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2601.22596},
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ Commercial licensing (FOTBCD-220k): **info@retgen.ai**
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