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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: Dataset… See the full description on the dataset page:
Source: Hugging Face Hub (elliotvincent/b-FLAIR-test). Metadata imported from the dataset’s Hub tags.