The Importance of Using Deep Learning in a Digital Environment

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Gabriel: I started working with deep learning at the end of 2019 or something like that. The first thing they asked to me is how can we get a calculation of how many people we have in every beach? We developed some deep learning models that even if you are changing the input signal, that means changing the aerial survey, it works. After that, we released a small application that you can see in the notes of the podcast when you can see some maps. Just for curious interest, if you want to go to a beach, and I would stay quiet and lose the goosey without many disturbances, you can see what places are the most suitable for that use. It was a great

Your feed might be dominated by LLMs these days, but there are some amazing things happening in computer vision that you shouldn’t ignore! In this episode, we bring you one of those amazing stories from Gabriel Ortiz, who is working with the government of Cantabria in Spain to automate cartography and apply AI to geospatial analysis. We hear about how AI tooling fits into the GIS workflow, and Gabriel shares some of his recent work (including work that can identify individual people, invasive plant species, building and more from aerial survey data).

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