Dataset Open Access
RSVQAxBEN
Sylvain Lobry;
Begüm Demir;
Devis Tuia
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
Files
(21.7 GB)
| Name | Size | |
|---|---|---|
|
Images.zip
md5:70fe678b081aa2f01bb2624947d1e425 |
16.0 GB | Download |
|
LRBENanswers.json
md5:b23ded7e7c2d65f93c516a0ac2c6b64b |
2.0 GB | Download |
|
LRBENimages.json
md5:018759f6c65f588272c3b667316c0a46 |
298.9 MB | Download |
|
LRBENpeople.json
md5:8024e13d1fbd50fab0e9e0f9cfbca98f |
277.6 MB | Download |
|
LRBENquestions.json
md5:971fcd999e29555818c1a8262e8756a4 |
3.2 GB | Download |
314
3,211
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 314 | 24 |
| Downloads | 3,211 | 1 |
| Data volume | 21.7 TB | 2.0 GB |
| Unique views | 279 | 17 |
| Unique downloads | 484 | 1 |
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