AI thinks this flood photo is a toilet. Fixing that could improve disaster response.

They also spent a significant amount of time figuring out the best way to annotate the images. They wanted the annotations to offer emergency responders useful context for their missions, and also needed the annotation scheme to be simple enough for data labelers to perform quickly with minimal errors. Rather than object categories, however, the researchers clustered photos based on increasingly specific disaster characteristics: Is there damage? Should the water be there?