Dataset Open Access
RSVQAxBEN
Sylvain Lobry;
Begüm Demir;
Devis Tuia
Citation Style Language JSON Export
{
"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"
}
742
4,197
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 742 | 701 |
| Downloads | 4,197 | 4,191 |
| Data volume | 27.8 TB | 27.8 TB |
| Unique views | 623 | 602 |
| Unique downloads | 726 | 723 |
Indexed in
- Publication date:
- July 14, 2021
- DOI:
-
- Keyword(s):
- Visual Question Answering Remote Sensing Sentinel 2
- License (for files):
- Creative Commons Attribution 4.0 International