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Satellite-Images-of-Hurricane-Damage
Hugging Face dataset jonathan-roberts1/Satellite-Images-of-Hurricane-Damage
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What's in it
- Data offered docs-verified
- post-hurricane satellite image patches (128x128 px) · binary image labels (2 classes), with class 0 = flooded or damaged buildings
- Resolution docs-verified
- 128 x 128 px image patches; ground sample distance not stated
- Formats docs-verified
- parquet · image
- Access docs-verified
- Open access; licence CC BY 4.0; no authentication listed in entry
Useful for
- Use cases llm-inferred
- Benchmarking or training a flood/damage building classifier on post-event satellite imagery · Prototyping rapid post-flood building damage screening before field survey · Building a labelled test set for remote-sensing damage detection workflows
- Audience llm-inferred
- GIS analysts · remote sensing analysts · machine learning engineers
Limitations
- Constraints llm-inferred
- Geographic coverage (which hurricane or region) is not stated in the docs · Only a train split is shown; no validation or test split is documented · Small 128x128 px patches limit detail · Only two labels; the name of the second class is not given · Sensor, source imagery and ground resolution are not documented · Hurricane damage imagery, not UK-specific; no flood-extent or water-depth labels documented
- Licence
- cc-by-4.0
- 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; 33 downloads/30d, 8 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)