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resnet50_sentinel2_all_moco
Hugging Face model torchgeo/resnet50_sentinel2_all_moco (image-classification)
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What's in it
- Data offered llm-inferred
- Pretrained ResNet-50 image-classification weights (MoCo self-supervised, Sentinel-2)
- Formats docs-verified
- timm-loadable model weights
- Access docs-verified
- Free download under CC BY 4.0 (licence per model card); no hosted inference provider available
Useful for
- Use cases llm-inferred
- Pretrained backbone for fine-tuning a Sentinel-2 land-cover classifier · Feature extraction for land-use change mapping across a catchment · Habitat and land-cover baseline classification as input to BNG assessment
- Audience llm-inferred
- GIS analysts · remote-sensing specialists · ecologists · hydrologists
Limitations
- Constraints llm-inferred
- Not deployed by any Inference Provider; must be downloaded and run locally · Model card gives no documented accuracy metrics or training details · Image classification only; no other tasks documented · Weights are adapted from the upstream SSL4EO-S12 repository, so its terms and provenance apply
- Licence
- cc-by-4.0
- 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; 546 downloads/30d, 1 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face models)