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Mikolaj Czerkawski

mikonvergence
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https://mikonvergence.github.io

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reacted to mkluczek's post with 🚀 16 days ago
First Global and Dense Open Embedding Dataset of Earth! 🌍 🤗 Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. 🔶 and Φ-lab at the European Space Agency (ESA) 🛰️. Together with @mikonvergence and Jędrzej S. Bojanowski, we present the first open-access dataset of Copernicus embeddings, offering dense, global coverage across the full acquisition areas of Sentinel-1 and Sentinel-2 sensors. 💡 Highlights: 📊 Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data. 🧠 Models: Foundation models include SigLIP, DINOv2, and SSL4EO. 📦 Scale: 62 TB of raw satellite data processed into 170M+ embeddings. This project delivers open and free vectorized expansions of https://huggingface.co/spaces/Major-TOM/README datasets, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications. 🤗 Explore the datasets: https://huggingface.co/datasets/Major-TOM/Core-S2L1C-SSL4EO https://huggingface.co/datasets/Major-TOM/Core-S1RTC-SSL4EO https://huggingface.co/datasets/Major-TOM/Core-S2RGB-DINOv2 https://huggingface.co/datasets/Major-TOM/Core-S2RGB-SigLIP 📖 Check paper: https://huggingface.co/papers/2412.05600 💻 Code notebook: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
reacted to mkluczek's post with 🔥 16 days ago
First Global and Dense Open Embedding Dataset of Earth! 🌍 🤗 Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. 🔶 and Φ-lab at the European Space Agency (ESA) 🛰️. Together with @mikonvergence and Jędrzej S. Bojanowski, we present the first open-access dataset of Copernicus embeddings, offering dense, global coverage across the full acquisition areas of Sentinel-1 and Sentinel-2 sensors. 💡 Highlights: 📊 Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data. 🧠 Models: Foundation models include SigLIP, DINOv2, and SSL4EO. 📦 Scale: 62 TB of raw satellite data processed into 170M+ embeddings. This project delivers open and free vectorized expansions of https://huggingface.co/spaces/Major-TOM/README datasets, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications. 🤗 Explore the datasets: https://huggingface.co/datasets/Major-TOM/Core-S2L1C-SSL4EO https://huggingface.co/datasets/Major-TOM/Core-S1RTC-SSL4EO https://huggingface.co/datasets/Major-TOM/Core-S2RGB-DINOv2 https://huggingface.co/datasets/Major-TOM/Core-S2RGB-SigLIP 📖 Check paper: https://huggingface.co/papers/2412.05600 💻 Code notebook: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
commented a paper 16 days ago
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space
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mikonvergence's activity

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