First Global and Dense Open Embedding Dataset of Earth!
Together with @mikonvergence.bsky.social and @jed0y.bsky.social we are proud to present the first open dataset of #Copernicus embeddings π.
Explore the datasets on @hf.co π€:
huggingface.co/Major-TOM
Read more: arxiv.org/abs/2412.05600 π°
10.12.2024 10:44 β π 1 π 1 π¬ 0 π 0
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space
With the ever-increasing volumes of the Earth observation data present in the archives of large programmes such as Copernicus, there is a growing need for efficient vector representations of the under...
We will only be seeing more datasets and models used to build embedding databases, so it is crucial to define how this process should be done in a reproducible and transparent fashion.
Joint work with @mkluczek.bsky.social & @jed0y.bsky.social
ππππ ππ¨π«π:
arxiv.org/abs/2412.05600
10.12.2024 07:47 β π 5 π 1 π¬ 0 π 0
α΄α΄α΄α΄Κ α΄α΄α΄ κ°Κα΄α΄α΄ΙͺΙ΄Ι’ ΙͺΙ΄ α΄Κα΄ Κα΄α΄α΄Ι΄α΄ κ±α΄α΄α΄α΄ π§βποΈ
ππ₯π¨πππ₯ ππ§π πππ§π¬π ππππ’ππ’ππ₯ ππ¦πππππ’π§π π¬ π¨π πππ£π¨π« πππ - ππ©ππ§ ππ§π π
π«ππ πππππ¬π¬ π¨π§ @hf.co
Embedding Earth observation data with pre-trained AI models is starting to become a hot topic, for all the good reasons.
More info in thread π§΅
10.12.2024 07:47 β π 20 π 8 π¬ 3 π 4
Engineer, startups, philosophy, music, coffee ...
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ML & DevRel @ Giskard & Pruna | ex HF π€ | π¨π½βπ³ Cooking, π¨π½βπ» Coding, π Committing
π€ Front-end Hugging Face
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Doing things at Hugging Face. Maintainer of π€/huggingface_hub.
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Tech Lead and LLMs at @huggingface π¨π»βπ» π€ AWS ML Hero π¦Έπ» | Cloud & ML enthusiast | πNuremberg | π©πͺ https://philschmid.de
SmolLMs & Data @huggingface
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Artificial Intelligence For Image Data Analysis in The Life Sciences, funded by Horizon Europe, created to serve YOU!
GeoAI, Climate, Remote Sensing, Generative AI and more!
(machine) learning @ MPI BGC
β¨ https://vitusbenson.github.io/
Ph.D. student on generative models and domain adaptation for Earth observation π°
Previously intern @SonyCSL, @Ircam, @Inria
π Personal website: https://lebellig.github.io/
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