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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
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Data volume 21.7 TB2.0 GB
Unique views 27917
Unique downloads 4841

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