Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model (SAM) - Qiusheng Wu

🌍📊 Exciting News! Join us this week as we welcome Dr. Qiusheng Wu to our working group! 🎉🔬
Dr. Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. He is also a Google Developer Expert (GDE) for Earth Engine and a Visiting Academic at Amazon, making him an industry leader in the geospatial field! 🌐💼🛰️
Get ready to be inspired by his remarkable journey and contributions. Dr. Wu is renowned for his work on various geospatial open-source packages like geemap, leafmap, and the groundbreaking segment-geospatial (samgeo) package. 🗺️🌱
In this engaging presentation, Dr. Wu dives into the world of the samgeo package. Discover how it simplifies the automated segmentation of satellite imagery using the innovative Meta’s Segment Anything Model. 🛰️🧩
Curious to learn more? Access his presentation slides here: docs.google.com/presentation/... 📑
Find samgeo pacakge in github: github.com/opengeos/segment-g...
Don't miss out on this incredible opportunity to expand your geospatial knowledge and connect with a true industry expert! 🌆🔍
#Geospatial #SatelliteImagery #Segmentation #OpenSource #GoogleExpert #EarthEngine #Innovation #GeoICT #MachineLearning #RemoteSensing #SERVIR #TheGeoICT

[@drissarouss559]

awesome u r the best

[@Toralero]

Great stuff!!

[@emanuelv5934]

🙌🙌

[@fakename-gp9co]

How can we get the code of the generate and predict function at 22:10 ?

[@TheGeoICT]

Hi. If you check the description, the slide is linked there. The slide has link to the colab that you can run for prediction etc. Thanks and happy predicting ;)

[@Ratein-Mall]

thank 4shr

[@jonanthanaquino1953]

Uau... Muito bom