Disaster Risk Monitoring Using Satellite Imagery

Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.

Kevin McFall

Kevin McFall

Learn image segmentation from a Master Instructor from NVIDIA's Deep Learning Institute

Other sessions from: Global AI Student Conference December 2022

Generate out of the world images with Azure and Stable Diffusion

Generate out of the world images with Azure and Stable Diffusion

Have you always wanted to have a photo in space, swimming through Atlantis...

Felipe Flores Felipe Flores
David Lazaro David Lazaro
Towards Responsible AI

Towards Responsible AI

When we talk about AI, we usually mean a machine learning model that is...

Luis Beltran Luis Beltran
AI-voice-assistant-using-python

AI-voice-assistant-using-python

This session will explain how to build a voice assistant that will recog...

Anaam Sayeda Anaam Sayeda
iShare Donation Platform

iShare Donation Platform

The best way is to adopt the idea of the sharing economy and decentralize ...

Jerry Lee Jerry Lee
Andy Lum Andy Lum
Hok Lai Liu Hok Lai Liu
Introduction to Named Entity Recognition using Azure Language

Introduction to Named Entity Recognition using Azure Language

Have you ever wondered how you can extract entities from unstructured text...

Konstantinos Kyriakos Sitistas Konstantinos Kyriakos Sitistas