Dataset Open Access

RSVQAxBEN

Sylvain Lobry; Begüm Demir; Devis Tuia


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    <subfield code="a">&lt;p&gt;Visual Question Answering is a new task that can facilitate the extraction of information from images through textual queries: it aims at answering an open-ended question formulated in natural language about a given image. In this work, we introduce a new dataset to tackle the task of visual question answering on remote sensing images: this large-scale, open access dataset extracts image/question/answer triplets from the BigEarthNet dataset.This new dataset contains close to 15 millions samples and is openly available&lt;/p&gt;</subfield>
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