Datasets › EarthVQA
EarthVQA (A multi-modal multi-task VQA dataset for remote sensing)
Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects and comprehensive reasoning. Based on city planning needs, we develop a multi-modal multi-task VQA dataset (EarthVQA) to advance relational reasoning-based judging, counting, and comprehensive analysis. The EarthVQA dataset contains 6000 images, corresponding semantic masks, and 208,593 QA pairs with urban and rural governance requirements embedded.
Characteristics:
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Multi-level annotations: The paired image-mask-QA pairs assisst for relational reasoning-based remote sensing visual question answering.
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Applicable QA pairs: All QA pairs are designed based on the actual city planning needs.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Visual Question Answering | EarthVQA | SOBA Overall Accuracy 78.14 | EarthVQA: Towards Queryable Earth via Relational... | Junjue-Wang/EarthVQA | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering | 1 | 1 | 19 Dec 2023 | ran 6 of 6 samples (0 unverified; 6 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
CC BY-NC
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- EarthVQA
1 variant name, as the archive lists them.
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