Dataset Open Access
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
Name | Size | |
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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 |
All versions | This version | |
---|---|---|
Views | 742 | 41 |
Downloads | 4,197 | 6 |
Data volume | 27.8 TB | 37.7 GB |
Unique views | 623 | 30 |
Unique downloads | 726 | 4 |