# VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis

Source: [VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis](<https://www.sota2.com/research/paper/68fa6a3d1e209131cea26e90>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T23:19:37.191Z

Authors: Argho Sarkar, Maryam Rahnemoonfar

Published: 2021-06-19T18:28:16.000Z

## Abstract

Visual Question Answering system integrated with Unmanned Aerial Vehicle (UAV) has a lot of potentials to advance the post-disaster damage assessment purpose. Providing assistance to affected areas is highly dependent on real-time data assessment and analysis. Scope of the Visual Question Answering is to understand the scene and provide query related answer which certainly faster the recovery process after any disaster. In this work, we address the importance of \\textit{visual question answering (VQA)} task for post-disaster damage assessment by presenting our recently developed VQA dataset called \\textit{HurMic-VQA} collected during hurricane Michael, and comparing the performances of baseline VQA models.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2106.10548>)

[PDF](<https://arxiv.org/pdf/2106.10548.pdf>)