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
With data splits
Files
(28.6 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 |
|
RSVQAxBEN_split_test_answers.json
md5:cbf605f6ff30f8a624a7ff7ef2216cf1 |
790.7 MB | Download |
|
RSVQAxBEN_split_test_images.json
md5:73df473db7f7dd01fb96a9a4f3bfd04c |
75.0 MB | Download |
|
RSVQAxBEN_split_test_questions.json
md5:0ccc69b08253297896fb05362581dfd3 |
1.0 GB | Download |
|
RSVQAxBEN_split_train_answers.json
md5:4fd72603d0b7f14543ab51ea88a862c7 |
1.3 GB | Download |
|
RSVQAxBEN_split_train_images.json
md5:2b5c686d1badd71fa93f1ffeb8e5bec7 |
182.2 MB | Download |
|
RSVQAxBEN_split_train_questions.json
md5:fd00fe8270ee2749d0f797ecb35fce53 |
2.1 GB | Download |
|
RSVQAxBEN_split_val_answers.json
md5:d49d19210e139073d8166d5c9388c847 |
633.7 MB | Download |
|
RSVQAxBEN_split_val_images.json
md5:22ce9734fef57828432250bba080946c |
46.5 MB | Download |
|
RSVQAxBEN_split_val_questions.json
md5:1a74962446dafaa089d39b6d308f8a5f |
756.1 MB | Download |
910
4,487
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 910 | 866 |
| Downloads | 4,487 | 4,481 |
| Data volume | 29.3 TB | 29.3 TB |
| Unique views | 771 | 747 |
| Unique downloads | 827 | 824 |
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