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FloodNet_2021-Track_2_Dataset_HF

Hugging Face dataset takara-ai/FloodNet_2021-Track_2_Dataset_HF

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What's in it

Data offered docs-verified
visual question answering (VQA) pairs on flood imagery · image-level condition labels: flooded / non flooded · road flooded / non flooded questions (yes/no and condition recognition) · simple and complex building counting questions
Resolution docs-verified
Image dimensions 3000x4000 or 3072x4592 px per record; ground sampling resolution not stated
Formats docs-verified
json
Access docs-verified
Open dataset, licence CC BY-SA 4.0; no authentication listed

Useful for

Use cases llm-inferred
Benchmarking VQA models on flood condition recognition from street-level images · Automated triage of flood-event photos (road and building status) for response teams · Evaluating building counting accuracy in flood imagery as a pre-screen for damage assessment
Audience llm-inferred
ML / computer vision engineers · flood risk analysts · GIS analysts

Limitations

Constraints llm-inferred
Geographic coverage, capture dates and camera details are not stated in the docs · Labels are visual Q&A annotations (flooded / non flooded, counts), not measured flood extents or depths; validate before use in flood-risk decisions · Small dataset: 2.35k rows across train, validation and test splits · Licence is share-alike (CC BY-SA 4.0), so derivatives must carry the same licence
Licence
cc-by-sa-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; 980 downloads/30d, 6 likes.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)