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satlas-super-resolution
Hugging Face dataset allenai/satlas-super-resolution
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What's in it
- Data offered llm-inferred
- satellite imagery for super-resolution training (inferred from dataset name) · urban training subset (inferred from path ssr-data/train_urban_set/ in the error text)
- Coverage llm-inferred
- Global (per ENTRY regions; DOCS do not state an area)
- Access llm-inferred
- Public Hugging Face Hub dataset; no API key or auth listed in ENTRY; licence not stated in ENTRY or DOCS
Useful for
- Use cases llm-inferred
- Training an urban satellite-imagery super-resolution model before using it on site or area imagery · Benchmarking super-resolution methods for upscaling coarse imagery in baseline land-cover mapping · Evaluating whether upscaled imagery is fit for purpose in a GIS analysis workflow
- Audience llm-inferred
- GIS analysts · remote sensing specialists · ML engineers · ecologists (imagery analysis)
Limitations
- Constraints docs-verified
- Dataset viewer unavailable (ConfigNamesError), so contents cannot be previewed on the Hub · README is empty, so no documentation of contents, sources, or method · Very large: total file size 974 GB · Licence not stated · No stated coverage, resolution, or formats
- 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; 614 downloads/30d, 6 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)