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asterisk-labs/betaearth-dinov3-vits16
betaearth-dinov3-vits16 is a feature extraction model from asterisk-labs. Use it when you need embeddings to search or compare text. It is set up for betaearth. The card lists the license as cc-by-4.0.
BetaEarth DINOv3 ViT-S/16 (natural pretrained, frozen) — lightweight
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From the Hugging Face model README
BetaEarth DINOv3 ViT-S/16 (natural pretrained, frozen) — lightweight
| Metric | Value |
|---|---|
| Test cosine similarity | 0.861 |
| LULC downstream accuracy | 0.863 |
| Trainable parameters | 1.8M |
| Total parameters | 23.8M (backbone loaded from torch.hub) |
| Inputs | 6 spectral primitives + DOY |
Note: This repo contains only the trainable weights (DPT head, FiLM, fusion, decoder — 1.8M). The frozen DINOv3 backbone is loaded from via at runtime.
| Model | Cos Sim | Trainable | Architecture |
|---|---|---|---|
| betaearth-segformer-film | 0.886 | 0.3M | SegFormer frozen+FiLM |
| betaearth-dinov3-vitl16 | 0.874 | 2.1M | DINOv3 ViT-L/16 |
| betaearth-dinov3-vits16 | 0.861 | 1.8M | DINOv3 ViT-S/16 |
| betaearth-segformer | 0.880 | 104.8M | SegFormer no FiLM |
| betaearth-rgb-only | 0.836 | 26.3M | SegFormer RGB-only |
CC-BY 4.0. Training data attribution: "The AlphaEarth Foundations Satellite Embedding dataset is produced by Google and Google DeepMind."