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Last Updated on February 26, 2025 by Editorial Team Author(s): Aleti Adarsh Originally published on Towards AI. Ever Wondered How AI Learns? Have you ever looked at AI models and thought, How the heck does this thing actually learn? Lets Break It Down! This member-only story is on us. Upgrade to access all of Medium.
A CVPR EARTHVISION Data Challenge by Embed2Scale Modern compression methods redefine the way we handle and analyze satellite imagery. In this article, we introduce the 2025 CVPR EARTHVISION Data Challenge an initiative by the Horizon Europe Embed2Scale consortium to advance neural compression for Earth Observation data.
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These labels provide crucial context for machine learning models, enabling them to make informed decisions and predictions. The importance of data annotation becomes even more apparent when we consider the staggering rate at which data is generated today.
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Social sciences: Social media analysis and public opinion studies. Text labeling has enabled all sorts of frameworks and strategies in machine learning. Obviously, this is also a weak supervisedlearning approach, because the labels are not guaranteed to be 100% correct. As of 2025, it is valued at approximately $14B.
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