mlsanityData to 14 Oct 2026

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models

arXiv 2304.11619 ↗First posted 23 Apr 2023cs.CV cs.AI cs.LGcited by 15

On the map: Multimodal LLMs / vision-language models → Embodied and 3D vision-language models

Abstract (arXiv)

Interpreting remote sensing imagery enables numerous downstream applications ranging from land-use planning to deforestation monitoring. Robustly classifying this data is challenging due to the Earth's geographic diversity. While many distinct satellite and aerial image classification datasets exist, there is yet to be a benchmark curated that suitably covers this diversity. In this work, we introduce SATellite ImageNet (SATIN), a metadataset curated from 27 existing remotely sensed datasets, and comprehensively evaluate the zero-shot transfer classification capabilities of a broad range of vision-language (VL) models on SATIN. We find SATIN to be a challenging benchmark-the strongest method we evaluate achieves a classification accuracy of 52.0%. We provide a hrefhttps://satinbenchmark.github.iopublic leaderboard to guide and track the progress of VL models in this important domain.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Placed in Embodied and 3D vision-language models, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 40 of its 89 references that are in the map. First posted on arXiv 23 Apr 2023.

Builds on

40 of 89 references.

References · 40

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28 more
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Citing papers per year: 2023: 3; 2024: 6; 2025: 6.

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  1. 2023SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
  2. 2026OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs
  3. 2024Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations
  4. 2024VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
  5. 2025Falcon: A Remote Sensing Vision-Language Foundation Model (Technical Report)
  6. 2024Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification
  7. 2023RSGPT: A Remote Sensing Vision Language Model and Benchmark
  8. 2026OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks