Update README.md

README.md

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----
-license: etalab-2.0
----
+---
+license: etalab-2.0
+task_categories:
+- image-segmentation
+language:
+- en
+tags:
+- remote-sensing
+- earth-observation
+- change-detection
+- weak-temporal-supervision
+pretty_name: b-FLAIR
+size_categories:
+- 10K<n<100K
+viewer: false
+---
+# b-FLAIR: bi-temporal extension of FLAIR
+
+<img src="./thumbnail.png" alt="b-FLAIR" width="700">
+
+## Dataset Description
+
+b-FLAIR is a temporal extension of the FLAIR dataset [1] focused on land cover classification in France. The dataset provides bi-temporal orthoimage pairs with single-temporal semantic annotations.
+
+Project page: https://xavibou.github.io/CDviaWTS/
+
+## Dataset Summary
+
+- **Task**: Semantic change detection via weak temporal supervision
+- **Coverage**: France
+- **Resolution**: 0.2 m/px
+- **Patch Size**: 512×512 pixels
+- **Bands**: Red, Green, Blue, Infrared, Elevation
+- **Total Training Pairs**: 61,712
+- **Total Test Pairs**: 16,050
+- **Validation split**: Corresponds to folders D004, D014, D029, D031, D058, D066, D067, D077 in train
+
+## Dataset Creation
+
+### Source Data
+
+The dataset extends the original FLAIR dataset [1] by adding new orthoimage acquisitions over the same geographic locations.
+New images were downloaded from IGN's BD ORTHO [2].
+82.9% of our added images correspond to images acquired after the corresponding original FLAIR patches, while the remaining were acquired before.
+
+### Annotations
+
+Original FLAIR single-temporal semantic masks are provided for each pair.
+They classify each pixel of t1 images in one of 19 semantic land cover classes.
+Please refer to [1] for more information on these annotations. 
+
+## References
+
+[1] Garioud et al. (2023). FLAIR: a country-scale land cover semantic segmentation dataset from multi-source optical imagery. In NeurIPS  
+[2] IGN - Institut national de l’information géographique et forestière. (2025). [BD ORTHO®: L’image géographique du territoire national, la France vue du ciel.](https://geoservices.ign.fr/bdortho)
+
+## Citation
+
+If you use this dataset, please cite the following publication:
+```bibtex
+@article{bou2025remote,
+  title={Remote Sensing Change Detection via Weak Temporal Supervision},
+  author={Bou, Xavier and Vincent, Elliot and Facciolo, Gabriele and Grompone von Gioi, Rafael and Morel, Jean-Michel and Ehret, Thibaud},
+  journal={arXiv preprint arXiv:},
+  year={2025}
+}
+```