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TerraMind-1.0-tiny

Hugging Face model ibm-esa-geospatial/TerraMind-1.0-tiny

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Data offered docs-verified: raw input modalities: S2L2A, S2L1C, S1GRD, S1RTC, DEM, RGB · pretrained backbone producing patch embeddings per modality · any-to-any generation of Earth Observation modalities · Thinking-in-Modalities (TiM) intermediate modality prediction (e.g. LULC)
Coverage llm-inferred: Global
Formats docs-verified: PyTorch · PyTorch Lightning checkpoint (.ckpt) · TerraTorch YAML config
Access docs-verified: Free, open weights under Apache-2.0 licence, downloaded automatically from Hugging Face. ENTRY metadata says no API key is required; DOCS do not confirm this.

Use cases llm-inferred: Land-cover and surface water extent mapping from Sentinel-2 and Sentinel-1 for site or catchment baselines · Fine-tuning a lightweight EO backbone for downstream classification or segmentation tasks · Filling data gaps by generating missing modalities (e.g. S1GRD or LULC) from available imagery · Edge or on-board inference where compute is constrained
Audience llm-inferred: GIS analysts · remote sensing specialists · hydrologists · ML engineers

Constraints docs-verified: Tiny variant is not the SOTA version; base and large variants are the top performers · Not deployed by any hosted inference provider, so self-hosting is needed · Requires the TerraTorch package to use the pretrained model directly · Generated modalities are model imaginations, not reconstructions of real data

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

Verified 2026-10-15 via HF API: exists; 3205 downloads/30d, 4 likes.

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