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TerraMind-1.0-small
Hugging Face model ibm-esa-geospatial/TerraMind-1.0-small
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What's in it
- Data offered docs-verified
- S2L2A · S2L1C · S1GRD · S1RTC · DEM · RGB
- Formats docs-verified
- PyTorch · TerraTorch Python API · YAML config
- Access docs-verified
- Free/open, Apache-2.0 licence; weights downloaded automatically from Hugging Face. No API key or paid tier is stated in DOCS.
Useful for
- Use cases llm-inferred
- Land-use/land-cover segmentation from Sentinel-2 and Sentinel-1 inputs for site or catchment baselines · Water body mapping from multispectral imagery to support flood or wetland baseline work · Vegetation assessment from Sentinel-2 bands as input to BNG habitat baseline mapping
- Audience llm-inferred
- GIS analysts · remote sensing engineers · ecologists · hydrologists · ML engineers
Limitations
- Constraints llm-inferred
- The small variant is competitive with smaller backbones, not state-of-the-art; base and large variants are the SOTA models · Generated modalities are 'mental images', not reconstructions · Practical use assumes Python with TerraTorch for fine-tuning or backbone loading · No UK-specific validation is described in DOCS
- Licence
- apache-2.0
- 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; 918 downloads/30d, 3 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face models)