GENERATING COMBINED CONFIDENCE METRICS FOR COMPLEX DAMAGE ASSESSMENT SYSTEMS

Abstract

A computing system configured to process a plurality of intermediate outputs from machine learning models to generate final outputs may be maintained. A combined confidence metric that reflects a probability that the final outputs are accurate may be determined based on the intermediate outputs. A comprehensive damage assessment may be presented. The comprehensive damage assessment may include identified damage having combined confidence metrics determined to be above a threshold.

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