June 6, 2024, 4:43 a.m. | Samuel Scheele, Katherine Picchione, Jeffrey Liu

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.02780v1 Announce Type: cross
Abstract: ML-based computer vision models are promising tools for supporting emergency management operations following natural disasters. Arial photographs taken from small manned and unmanned aircraft can be available soon after a disaster and provide valuable information from multiple perspectives for situational awareness and damage assessment applications. However, emergency managers often face challenges finding the most relevant photos among the tens of thousands that may be taken after an incident. While ML-based solutions could enable more effective …

abstract aircraft applications arxiv assessment classifiers computer computer vision cs.ai cs.cv cs.lg dataset disaster disasters emergency information low management multiple natural natural disasters operations perspectives photographs situational awareness small tools type vision vision models

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