Dataset Open Access

Remote Sensing VQA - Low Resolution (RSVQA LR)

Sylvain Lobry; Diego Marcos; Jesse Murray; Devis Tuia

Remote sensing images contain a wealth of information which can be useful for a wide range of tasks including land cover classification, object counting or detection. However, most of the available methodologies are task-specific, thus inhibiting generic and easy access to the information contained in remote sensing data. As a consequence, accurate remote sensing product generation still requires expert knowledge. With RSVQA, we propose a system to extract information from remote sensing data that is accessible to every user: we use questions formulated in natural language and use them to interact with the images. With the system, images can be queried to obtain high level information specific to the image content or relational dependencies between objects visible in the images. Using an automatic method, we built two datasets (using low and high resolution data) of image/question/answer triplets. The information required to build the questions and answers is queried from OpenStreetMap (OSM). The datasets can be used to train (when using supervised methods) and evaluate models to solve the RSVQA task.

This page concerns the low resolution dataset.

Files (150.5 MB)
Name Size
all_answers.json
md5:9042f398d25413a10ea530b7b2a94dd2
9.2 MB Download
all_questions.json
md5:fed409776edd11790c596ea0848984c7
15.3 MB Download
Images_LR.zip
md5:2329258d74d54600628b8652a0e42672
95.0 MB Download
LR_split_test_answers.json
md5:f925d70eb74bb4094966670cb4c2f840
1.9 MB Download
LR_split_test_images.json
md5:4a5ae90a5686bbcffd1d7ec06ddbb692
123.3 kB Download
LR_split_test_questions.json
md5:9bddc53d7399a43378f743ec0ff1f95f
2.7 MB Download
LR_split_train_answers.json
md5:a5ff787f9977b0050b9bbf4e32bbb533
7.4 MB Download
LR_split_train_images.json
md5:7d1e7c099c65e39b3e773578cdabe79a
585.1 kB Download
LR_split_train_questions.json
md5:935d59a05d126496fe61c541b4ab2d55
11.9 MB Download
LR_split_val_answers.json
md5:61ba49ece26c989f81a9a1e2fe0d475b
2.7 MB Download
LR_split_val_images.json
md5:7a9f267d2cd106025c45a2b68dce5351
123.3 kB Download
LR_split_val_questions.json
md5:67b99979ebd468330355d656bf4d6d29
3.5 MB Download
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