author keywords: data labeling; classification; hurricane impacts; machine learning; imagery; data annotation

TL;DR: This work investigates the process of labeling data, with a specific focus on coastal aerial imagery captured in the wake of hurricanes that affected the Atlantic and Gulf Coasts of the United States, and investigates interrater agreement: the extent to which labelers labeled each image similarly. (via Semantic Scholar)