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sen1floods11-preprocessed-dl
Hugging Face dataset pdosquet/sen1floods11-preprocessed-dl
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What's in it
- Data offered docs-verified
- s1 array (3D) · s2 array (3D) · label array (2D) · jrc_mask array (2D) · patch_id, region and label_source metadata fields
- Coverage llm-inferred
- Global
- Formats docs-verified
- parquet · optimized-parquet
- Access docs-verified
- free/open; Apache-2.0 licence
Useful for
- Use cases llm-inferred
- Training and validating a SAR-based flood-extent segmentation model on labelled patches · Benchmarking flood-mapping models against the 105-row test split · Prototyping flood-extent detection inputs for flood risk assessment work
- Audience llm-inferred
- GIS analysts · hydrologists · flood risk modellers · ML engineers / data scientists
Limitations
- Constraints llm-inferred
- Preview shows only Bolivia rows; global coverage is not verified from the dataset page · Label source appears to be weak labels (label_source 'weak' in preview) · Dataset card has no documented spatial resolution, time span or update frequency · Test split is small (105 rows) · Dataset card README is empty, so no provenance or usage notes are provided
- Licence
- apache-2.0
- Authentication
- Unknown — review source docs
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Verified 2026-10-15 via HF API: exists; 506 downloads/30d, 0 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)