Published July 14, 2021
| Version 0.1
Dataset
Open
RSVQAxBEN
Creators
- 1. LIPADE, Université de Paris, Paris, France
- 2. Technische Universität Berlin
- 3. Ecole Polytechnique Fédérale de Lausanne, Sion, Switzerland
Description
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
Images.zip
Files
(21.7 GB)
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