content.raw: First Global and Dense Open Embedding Dataset of Earth! 🌍 🤗
content.type: text
content.value: First Global and Dense Open Embedding Dataset of Earth! 🌍 🤗
content.type: new_line
content.type: new_line
content.raw: Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. 🔶 and Φ-lab at the European Space Agency (ESA) 🛰️. Together with 
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content.value: Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. 🔶 and Φ-lab at the European Space Agency (ESA) 🛰️. Together with 
content.raw: @mikonvergence
content.type: mention
content.user: mikonvergence
content.raw:   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.
content.type: text
content.value:   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.
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content.raw: 💡 Highlights: 
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content.value: 💡 Highlights: 
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content.raw: 📊 Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data. 
content.type: text
content.value: 📊 Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data. 
content.type: new_line
content.raw: 🧠 Models: Foundation models include SigLIP, DINOv2, and SSL4EO. 
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content.value: 🧠 Models: Foundation models include SigLIP, DINOv2, and SSL4EO. 
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content.raw: 📦 Scale: 62 TB of raw satellite data processed into 170M+ embeddings. 
content.type: text
content.value: 📦 Scale: 62 TB of raw satellite data processed into 170M+ embeddings. 
content.type: new_line
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content.raw: This project delivers open and free vectorized expansions of 
content.type: text
content.value: This project delivers open and free vectorized expansions of 
content.raw: https://huggingface.co/spaces/Major-TOM/README
content.id: Major-TOM/README
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/Major-TOM/README
content.raw:  datasets, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications. 
content.type: text
content.value:  datasets, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications. 
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content.raw: 🤗 Explore the datasets:
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content.value: 🤗 Explore the datasets:
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content.raw: https://huggingface.co/datasets/Major-TOM/Core-S2L1C-SSL4EO
content.id: Major-TOM/Core-S2L1C-SSL4EO
content.type: dataset
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content.url: https://huggingface.co/datasets/Major-TOM/Core-S2L1C-SSL4EO
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content.raw: https://huggingface.co/datasets/Major-TOM/Core-S1RTC-SSL4EO
content.id: Major-TOM/Core-S1RTC-SSL4EO
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/Major-TOM/Core-S1RTC-SSL4EO
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content.raw: https://huggingface.co/datasets/Major-TOM/Core-S2RGB-DINOv2
content.id: Major-TOM/Core-S2RGB-DINOv2
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/Major-TOM/Core-S2RGB-DINOv2
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content.raw: https://huggingface.co/datasets/Major-TOM/Core-S2RGB-SigLIP
content.id: Major-TOM/Core-S2RGB-SigLIP
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content.url: https://huggingface.co/datasets/Major-TOM/Core-S2RGB-SigLIP
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content.raw: 📖 Check paper: 
content.type: text
content.value: 📖 Check paper: 
content.label: Global and Dense Embeddings of Earth: Major TOM Floating in the Latent
    Space (2412.05600)
content.raw: https://huggingface.co/papers/2412.05600
content.id: 2412.05600
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2412.05600
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content.raw: 💻 Code notebook: 
content.type: text
content.value: 💻 Code notebook: 
content.href: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
content.raw: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
content.type: link
rawContent: 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
reactions.reaction: 🚀
reactions.users: mikonvergence clem John6666 blanchon
reactions.reaction: 🔥
reactions.users: mikonvergence clem blanchon
reactions.reaction: 👍
reactions.users: FM-1976
commentators._id: 5e67bdd61009063689407479
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1583857146757-5e67bdd61009063689407479.jpeg
commentators.fullname: Clem 🤗
commentators.name: clem
commentators.type: user