CrowdAI used machine learning and human-in-the-loop review to produce a dataset of damaged buildings after the March 2020 tornadoes in Tennessee.
AI & human teaming when disaster strikes
Case Studies
A collection of 5 posts
Making Sense of Imagery After Hurricane Dorian
CrowdAI deployed our deep learning models on NOAA imagery after Hurricane Dorian to understand the extent of the damage from flooding.
AI and Wildfire Damage
The extent of the damage from Camp Fire in Northern California is unimaginable. It's difficult to wrap your head around it without walking around each affected neighborhood. Thousands of buildings were destroyed, leaving many local residents without a…
Using AI to help after Hurricane Michael
Using AI, we can get a better sense of destruction after a storm, and create insights useful to recovery efforts.
Keeping an eye on fracking
The incredible uptick in oil and gas exploration in the United States in recent years has meant a lot of changes to the landscape in regions across the country.