Dataset Open Access

RSVQAxBEN

Sylvain Lobry; Begüm Demir; Devis Tuia


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5084904", 
  "language": "eng", 
  "title": "RSVQAxBEN", 
  "issued": {
    "date-parts": [
      [
        2021, 
        7, 
        14
      ]
    ]
  }, 
  "abstract": "<p>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</p>", 
  "author": [
    {
      "family": "Sylvain Lobry"
    }, 
    {
      "family": "Beg\u00fcm Demir"
    }, 
    {
      "family": "Devis Tuia"
    }
  ], 
  "note": "With data splits", 
  "version": "1.0", 
  "type": "dataset", 
  "id": "5084904"
}
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