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remote-sensing-visual-instructions
Hugging Face dataset AdaptLLM/remote-sensing-visual-instructions
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What's in it
- Data offered docs-verified
- visual question answering over remote sensing images · image-to-text captioning of remote sensing images
- Formats docs-verified
- json
- Access docs-verified
- Licence: other (terms not stated in DOCS; check the dataset card before reuse)
Useful for
- Use cases llm-inferred
- Prototype automated labelling of site aerial photos (e.g. storage tanks, car parks, runways) for baseline reports · Benchmark a vision-language model's scene description on aerial imagery before using it on survey photos · Draft one-sentence captions for photographic appendices in site-condition or EIA reports
- Audience llm-inferred
- GIS analysts · computer vision / ML engineers · environmental consultants evaluating AI tools
Limitations
- Constraints llm-inferred
- Generic remote sensing caption and VQA data; no water, drainage or civils-specific variables are described in DOCS · Licence 'other' with no stated terms · No spatial resolution, geographic area, capture date or image source stated in DOCS · Static dataset, not a live data feed · Sample assistant responses include speculative statements (e.g. the runway '24' marking is described as relating to the '24th hour'), so answers should be treated as unverified labels
- Licence
- other
- 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; 59 downloads/30d, 8 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)