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Prithvi-EO-2.0-tiny-TL
Hugging Face model ibm-nasa-geospatial/Prithvi-EO-2.0-tiny-TL
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What's in it
- Data offered docs-verified
- multi-temporal HLS image reconstruction (inference.py) · pretrained 5M-parameter ViT backbone with temporal and location embeddings, for finetuning via TerraTorch
- Coverage llm-inferred
- Global
- Resolution docs-verified
- 30 m (NASA HLS V2 pretraining imagery)
- Formats docs-verified
- GeoTIFF
- Access docs-verified
- Free and open; Apache-2.0 licence; no API key stated in DOCS (Hugging Face download)
Useful for
- Use cases llm-inferred
- Landslide segmentation screening from multi-temporal HLS imagery, following the docs example notebook · Habitat or land-cover change baseline by finetuning a segmentation head with TerraTorch · Reconstructing cloud-gapped HLS time series as clean input for ecological or hydrological baseline mapping
- Audience llm-inferred
- GIS analysts · remote sensing specialists · geotechnical engineers · ecologists · hydrologists
Limitations
- Constraints llm-inferred
- Tiny variant performs lower than the larger Prithvi-EO-2.0 models on benchmarks · Inputs must be six reflectance bands in the stated order (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) · DOCS list band names inconsistently between pretraining (SWIR) and inference (SWIR 1) · Inference expects co-located images at different timestamps, supplied in chronological order · Finetuning requires terratorch>=1.1 · DOCS do not state the geographic coverage of the pretraining samples · Not deployed by any Hugging Face Inference Provider; no hosted API
- 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; 1366 downloads/30d, 11 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face models)