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betaearth-dinov3-vitl16
asterisk-labs/betaearth-dinov3-vitl16
betaearth-dinov3-vitl16 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-L/16 (satellite pretrained, frozen) — best LULC downstream
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At a glance
- Task
- Feature Extraction
- Library
- betaearth
- License
- cc-by-4.0
- Model type
- betaearth-dinov3
- Access
- Public
- Created
- Apr 6, 2026
- Updated
- Apr 6, 2026
- SHA
- 93f3b5b8
Model card
From the Hugging Face model README
betaearth-dinov3-vitl16
BetaEarth DINOv3 ViT-L/16 (satellite pretrained, frozen) — best LULC downstream
| Metric | Value |
|---|---|
| Test cosine similarity | 0.874 |
| LULC downstream accuracy | 0.87 |
| Trainable parameters | 2.1M |
| Total parameters | 304M (backbone loaded from torch.hub) |
| Inputs | 6 spectral primitives + DOY |
Note: This repo contains only the trainable weights (DPT head, FiLM, fusion, decoder — 2.1M). The frozen DINOv3 backbone is loaded from via at runtime.
Usage
All BetaEarth models
| 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 |
License
CC-BY 4.0. Training data attribution: "The AlphaEarth Foundations Satellite Embedding dataset is produced by Google and Google DeepMind."
- Task
- Feature Extraction
- Library
- betaearth
- Type
- betaearth-dinov3
- License
- cc-by-4.0
- Created
- Apr 6, 2026
- Updated
- Apr 6, 2026