The xView2 competition and xBD dataset spurred significant advancements in overhead
building damage detection, but the competition's pixel level scoring can lead to reduced
solution performance in areas with tight clusters of buildings or uninformative context. We
seek to advance automatic building damage assessment for disaster relief by proposing an
auxiliary challenge to the original xView2 competition. This new challenge involves a new
dataset and metrics indicating solution performance when damage is more local and limited …