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SegFormer-landcover-FT
Hugging Face model nave1616/SegFormer-landcover-FT
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What's in it
- Data offered llm-inferred
- land-cover segmentation (semantic segmentation of land-cover classes)
- Formats docs-verified
- Safetensors
- Access llm-inferred
- Public Hugging Face model repository; no API key indicated in metadata; no inference provider deployment; licence not stated
Useful for
- Use cases llm-inferred
- Land-cover baseline mapping from aerial or satellite imagery for habitat or land-use context · Impermeable-area estimates from land-cover classes as drainage strategy inputs · Pre-screening land-cover classes for ecological baseline surveys before field verification
- Audience llm-inferred
- GIS analysts · ecologists · drainage engineers · planners
Limitations
- Constraints llm-inferred
- Model card README is empty, so class list, training details and evaluation metrics are unknown · Licence not stated · Not deployed by any Inference Provider; must be run locally with a Hugging Face-compatible library · Base model is SegFormer-B4 fine-tuned on ADE20K; training dataset is a third-party set (erikpinhasov/landcover_dataset) with unknown UK coverage · Global region in metadata is not verified by the docs
- Licence
- Unknown — check provider terms
- Authentication
- No API key required (repository README, auto-extracted; check upstream requirements)
- 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; 1301 downloads/30d, 0 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face models)