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

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Tech Adam Simmons

Innhold levert av Project Geospatial. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Project Geospatial eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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

1y ago 23:56

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Innhold levert av Project Geospatial. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Project Geospatial eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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. 📊 Applications include clustering similar images and detecting changes over time. 🔍 Text-image embeddings enable natural language search based on image content. 🚀 Open-source models like Sky Clip enhance functionality for geospatial applications. 📈 Seasonal variations in embeddings can indicate environmental changes and events like floods. 🛠️ 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

362 episoder

#Tech #Adam Simmons

Artwork

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

Project Geospatial

published 1y ago

Del

MP3•Episoder hjem

Innhold levert av Project Geospatial. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Project Geospatial eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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. 📊 Applications include clustering similar images and detecting changes over time. 🔍 Text-image embeddings enable natural language search based on image content. 🚀 Open-source models like Sky Clip enhance functionality for geospatial applications. 📈 Seasonal variations in embeddings can indicate environmental changes and events like floods. 🛠️ 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

362 episoder

#Tech #Adam Simmons

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