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Bruno Sánchez-Andrade Nuño
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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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