elliotvincent/b-FLAIR-test
b-FLAIR-test: Building Change Detection Evaluation Dataset Dataset Description b-FLAIR-test is an evaluation dataset for building change detection, containing 1,730 annotated image pairs with binary building change masks. This dataset is designed for in-domain evaluation of methods trained on b-FLAIR in particular and provides a rigorous benchmark for bi-temporal building change detection in general. Project page: https://xavibou.github.io/CDviaWTS/… See the full description on the dataset page: https://huggingface.co/datasets/elliotvincent/b-FLAIR-test.
| Author / organization | elliotvincent |
|---|---|
| License (as declared) | etalab-2.0 |
| Downloads | 219 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 25 November 2025 |
| Last updated at source | 12 January 2026 |
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219 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: b-FLAIR-test: Building Change Detection Evaluation Dataset Dataset Description b-FLAIR-test is an evaluation dataset for building change detection, containing 1,730 annotated image pairs with binary building change masks. This dataset is de → b-FLAIR-test: Building Change Detection Evaluation Dataset Dataset Description b-FLAIR-test is an evaluation dataset for building change detection, containing 1,730 annotated image pairs with binary building change masks. This dataset is de
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.