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🗺 Major TOM: Expandable Datasets for Earth Observation
🗺 Major TOM: Expandable Datasets for Earth Observation
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🚨 RECORD-BREAKING EO DATASET: the largest ever ML-ready Sentinel-2 dataset! It covers almost every single point on Earth captured by the Copernicus Sentinel-2 satellite. 
🚨 RECORD-BREAKING EO DATASET: the largest ever ML-ready Sentinel-2 dataset! It covers almost every single point on Earth captured by the Copernicus Sentinel-2 satellite. 
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@mikonvergence
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 and I are thrilled to finally announce the release of 
 and I are thrilled to finally announce the release of 
resource
https://huggingface.co/datasets/Major-TOM/Core-S2L2A
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Major-TOM/Core-S2L2A
https://huggingface.co/datasets/Major-TOM/Core-S2L2A
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 and 
 and 
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https://huggingface.co/datasets/Major-TOM/Core-S2L1C
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Major-TOM/Core-S2L1C
https://huggingface.co/datasets/Major-TOM/Core-S2L1C
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🌍 About half of the entire planet is covered. That's 2,245,886 patches of 1068 x 1068 pixels, available in both L1C and L2A. At 10 m resolution, we've got 256 million square km with over 2.5 trillion pixels. It's all yours with a few lines of code. See the paper linked below 🔽 for more info!
🌍 About half of the entire planet is covered. That's 2,245,886 patches of 1068 x 1068 pixels, available in both L1C and L2A. At 10 m resolution, we've got 256 million square km with over 2.5 trillion pixels. It's all yours with a few lines of code. See the paper linked below 🔽 for more info!
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🧱 And this is just the beginning. We are currently preparing more datasets from different satellites for the Major TOM org. TOM stands for Terrestrial Observation Metaset - a simple set of rules for building an ecosystem of ML-ready EO datasets, which can be seamlessly combined as if they were Lego bricks.
🧱 And this is just the beginning. We are currently preparing more datasets from different satellites for the Major TOM org. TOM stands for Terrestrial Observation Metaset - a simple set of rules for building an ecosystem of ML-ready EO datasets, which can be seamlessly combined as if they were Lego bricks.
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🚴‍♀️ Want to take the dataset for a spin? We have a viewer app on spaces that lets you go anywhere on Earth and shows you the data, if its available 
🚴‍♀️ Want to take the dataset for a spin? We have a viewer app on spaces that lets you go anywhere on Earth and shows you the data, if its available 
resource
https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer
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Major-TOM/MajorTOM-Core-Viewer
https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer
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📰 Preprint paper: 
📰 Preprint paper: 
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https://huggingface.co/papers/2402.12095
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2402.12095
https://huggingface.co/papers/2402.12095
Major TOM: Expandable Datasets for Earth Observation (2402.12095)
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💻 Colab example: 
💻 Colab example: 
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https://colab.research.google.com/github/ESA-PhiLab/Major-TOM/blob/main/03-Filtering-in-Colab.ipynb
https://colab.research.google.com/github/ESA-PhiLab/Major-TOM/blob/main/03-Filtering-in-Colab.ipynb
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Thank you to the amazing 🤗Hugging Face team for the support on this one! 
Thank you to the amazing 🤗Hugging Face team for the support on this one! 
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@osanseviero
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@lhoestq
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@BrigitteTousi
BrigitteTousi
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🗺 Major TOM: Expandable Datasets for Earth Observation

🚨 RECORD-BREAKING EO DATASET: the largest ever ML-ready Sentinel-2 dataset! It covers almost every single point on Earth captured by the Copernicus Sentinel-2 satellite. @mikonvergence and I are thrilled to finally announce the release of https://huggingface.co/datasets/Major-TOM/Core-S2L2A and https://huggingface.co/datasets/Major-TOM/Core-S2L1C

🌍 About half of the entire planet is covered. That's 2,245,886 patches of 1068 x 1068 pixels, available in both L1C and L2A. At 10 m resolution, we've got 256 million square km with over 2.5 trillion pixels. It's all yours with a few lines of code. See the paper linked below 🔽 for more info!

🧱 And this is just the beginning. We are currently preparing more datasets from different satellites for the Major TOM org. TOM stands for Terrestrial Observation Metaset - a simple set of rules for building an ecosystem of ML-ready EO datasets, which can be seamlessly combined as if they were Lego bricks.

🚴‍♀️ Want to take the dataset for a spin? We have a viewer app on spaces that lets you go anywhere on Earth and shows you the data, if its available https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer 

📰 Preprint paper: https://huggingface.co/papers/2402.12095
💻 Colab example: https://colab.research.google.com/github/ESA-PhiLab/Major-TOM/blob/main/03-Filtering-in-Colab.ipynb

Thank you to the amazing 🤗Hugging Face team for the support on this one! @osanseviero @lhoestq @BrigitteTousi 
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mikonvergence lhoestq osanseviero julien-c taufiqdp mvaloatto clem BrigitteTousi nicolasdec kramp csaybar
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Julien Chaumond
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