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satellite-building-segmentation

Hugging Face dataset keremberke/satellite-building-segmentation

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What's in it

Data offered docs-verified
building instance masks (polygon segmentation per object) · per-object bounding boxes (bbox) · per-object pixel area · aerial/satellite image tiles
Resolution docs-verified
Pixel dimensions only (viewer shows sizes such as 500x500 and 500x384); ground sample distance not stated
Formats docs-verified
Parquet
Access llm-inferred
Public Hugging Face dataset page; no auth listed in ENTRY and no licence stated in ENTRY or DOCS, so licence and commercial-use terms are unverified

Useful for

Use cases llm-inferred
Benchmarking a building-footprint segmentation model on aerial imagery before applying it to UK survey data · Prototyping building-outline extraction for impervious-area estimates in drainage catchment studies · Building a training set for building detection in a small-scale site constraints or flood-exposure proof of concept
Audience llm-inferred
GIS analysts · drainage engineers · flood consultants · data scientists / ML engineers

Limitations

Constraints llm-inferred
No licence stated in ENTRY or DOCS; commercial use unverified · Imagery source, capture date and geography are not documented (ENTRY says Global, but DOCS do not state coverage) · No ground sample distance stated, and images are small (about 500 px or less), so unsuitable for detailed UK building-level work without checking · Not UK-specific · Upstream provenance unclear: tags indicate a Roboflow-to-Hugging Face conversion
Licence
Unknown — check provider terms
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; 445 downloads/30d, 12 likes.

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