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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 ๐Ÿš€ 25 days ago
First Global and Dense Open Embedding Dataset of Earth! ๐ŸŒ ๐Ÿค— Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. ๐Ÿ”ถ and ฮฆ-lab at the European Space Agency (ESA) ๐Ÿ›ฐ๏ธ. Together with @mikonvergence and Jฤ™drzej 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. ๐Ÿ’ก Highlights: ๐Ÿ“Š Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data. ๐Ÿง  Models: Foundation models include SigLIP, DINOv2, and SSL4EO. ๐Ÿ“ฆ 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. ๐Ÿค— 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 ๐Ÿ“– Check paper: https://huggingface.co/papers/2412.05600 ๐Ÿ’ป Code notebook: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
reacted to mkluczek's post with ๐Ÿ”ฅ 25 days ago
First Global and Dense Open Embedding Dataset of Earth! ๐ŸŒ ๐Ÿค— Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. ๐Ÿ”ถ and ฮฆ-lab at the European Space Agency (ESA) ๐Ÿ›ฐ๏ธ. Together with @mikonvergence and Jฤ™drzej 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. ๐Ÿ’ก Highlights: ๐Ÿ“Š Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data. ๐Ÿง  Models: Foundation models include SigLIP, DINOv2, and SSL4EO. ๐Ÿ“ฆ 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. ๐Ÿค— 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 ๐Ÿ“– Check paper: https://huggingface.co/papers/2412.05600 ๐Ÿ’ป Code notebook: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
commented a paper 25 days ago
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space
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Gradio-Themes-Party's profile picture satellite-image-deep-learning's profile picture European Space Agency ฮฆ-lab's profile picture Major TOM's profile picture

mikonvergence's activity

upvoted a paper 25 days ago
upvoted a paper 11 months ago