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Mikolaj Czerkawski

mikonvergence
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https://mikonvergence.github.io

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posted an update about 2 hours ago
🥕 Introducing BetaEarth - your own Earth embedding emulator [𝐏𝐫𝐞-𝐑𝐞𝐥𝐞𝐚𝐬𝐞] The past year has brought many notable embedding products, like AlphaEarth, TESSERA or OlmoEarth. We are entering a phase where embeddings begin to act as a substitute for real observation data. BetaEarth is an attempt to explore how much one can learn from a model based on its embeddings alone, and whether those embeddings can serve as a useful training target for other models. Huge credit to the AlphaEarth team for releasing the embedding archive openly — it's what made this kind of community-built extension possible. [𝐁𝐞𝐭𝐚𝐄𝐚𝐫𝐭𝐡 𝐢𝐬 𝐧𝐨𝐭 𝐚 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 𝐛𝐮𝐭 𝐢𝐭 𝐭𝐫𝐢𝐞𝐬 𝐢𝐭𝐬 𝐛𝐞𝐬𝐭] BetaEarth is a flexible (and relatively lightweight) emulator of the AlphaEarth annual product. It doesn't reproduce AlphaEarth's exact outputs, nor the product, but it reaches ~0.87 cosine similarity on held-out data and retains 97% of downstream land-cover classification accuracy. It only took 1-2 days to train. It can encode any combination (including multi-temporal) of: - Sentinel-2 L1C - Sentinel-2 L2A - Sentinel-1 RTC - COP-DEM 30 product The model weights are open, just like its training data (built exclusively using Major TOM). The GitHub repository provides a script for automated generation of embeddings across any footprint. You can also try the workflow over small bounding boxes on the free Hugging Face web app! ⚙️ GitHub: https://github.com/asterisk-labs/beta-earth 🖥️ Web App: https://huggingface.co/spaces/asterisk-labs/betaearth 🏭 Models: https://huggingface.co/collections/asterisk-labs/beta-earth 🟨 Colab: https://colab.research.google.com/github/asterisk-labs/beta-earth/blob/main/examples/generate_demo.ipynb 🗞️ Pre-print: https://github.com/asterisk-labs/beta-earth/blob/main/docs/beta_earth_preprint.pdf
updated a Space 3 days ago
asterisk-labs/betaearth
updated a collection 4 days ago
Beta-Earth
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