Dataset Open Access


Sylvain Lobry; Begüm Demir; Devis Tuia

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Sylvain Lobry</dc:creator>
  <dc:creator>Begüm Demir</dc:creator>
  <dc:creator>Devis Tuia</dc:creator>
  <dc:description>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</dc:description>
  <dc:description>With data splits</dc:description>
  <dc:subject>Visual Question Answering</dc:subject>
  <dc:subject>Remote Sensing</dc:subject>
  <dc:subject>Sentinel 2</dc:subject>
All versions This version
Views 314290
Downloads 3,2113,210
Data volume 21.7 TB21.7 TB
Unique views 279264
Unique downloads 484483


Cite as