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FOSS4G NA 2024 - Embed All The Things: The Promise Of Geospatial Vector Embeddings - Adeel Hassan

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Kandungan disediakan oleh Project Geospatial. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Project Geospatial atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Adeel Hassan discusses the significance of geospatial vector embeddings derived from imagery, highlighting their potential in the geospatial domain through open-source models and tools. Highlights 🌍 Vector embeddings are crucial for analyzing high-dimensional geospatial data. 🧠 They represent data points in a lower-dimensional space, revealing similarities and dissimilarities. πŸ“Š Applications include clustering similar images and detecting changes over time. πŸ” Text-image embeddings enable natural language search based on image content. πŸš€ Open-source models like Sky Clip enhance functionality for geospatial applications. πŸ“ˆ Seasonal variations in embeddings can indicate environmental changes and events like floods. πŸ› οΈ The technology is still evolving, presenting both opportunities and challenges. For more content like this check out www.projectgeospatial.com #Geospatial #MachineLearning #VectorEmbeddings #OpenSource #DataAnalysis #RemoteSensing #AI

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362 episod

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Manage episode 461965962 series 3234430
Kandungan disediakan oleh Project Geospatial. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Project Geospatial atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Adeel Hassan discusses the significance of geospatial vector embeddings derived from imagery, highlighting their potential in the geospatial domain through open-source models and tools. Highlights 🌍 Vector embeddings are crucial for analyzing high-dimensional geospatial data. 🧠 They represent data points in a lower-dimensional space, revealing similarities and dissimilarities. πŸ“Š Applications include clustering similar images and detecting changes over time. πŸ” Text-image embeddings enable natural language search based on image content. πŸš€ Open-source models like Sky Clip enhance functionality for geospatial applications. πŸ“ˆ Seasonal variations in embeddings can indicate environmental changes and events like floods. πŸ› οΈ The technology is still evolving, presenting both opportunities and challenges. For more content like this check out www.projectgeospatial.com #Geospatial #MachineLearning #VectorEmbeddings #OpenSource #DataAnalysis #RemoteSensing #AI

…   continue reading

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