SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
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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Built on by
Citing papers per year: 2023: 3; 2024: 6; 2025: 6.
15 papers.
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- 2023RemoteCLIP: A Vision Language Foundation Model for Remote Sensingcited by 363
- 2023GPT4GEO: How a Language Model Sees the World's Geographycited by 68
- 2025RemoteSAM: Towards Segment Anything for Earth Observationcited by 39
- 2024Towards Vision-Language Geo-Foundation Model: A Surveycited by 36
- 2023Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMscited by 34
- 2025Vision-Language Models for Edge Networks: A Comprehensive Surveycited by 29
- 2024A Practitioner's Guide to Continual Multimodal Pretrainingcited by 23
- 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectivescited by 18
- 2024Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignmentcited by 15
- 2024GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Modelscited by 3
- 2025AI Benchmark Democratization and Carpentrycited by 3
- 2025OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensingcited by 2
- 2025AI Benchmark Democratization and Carpentry12 Dec 2025
- 2025An MLCommons Scientific Benchmarks Ontology6 Nov 2025
- 2025RemoteSAM: Towards Segment Anything for Earth Observation23 May 2025
- 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives20 May 2025
- 2025OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing28 Feb 2025
- 2025Vision-Language Models for Edge Networks: A Comprehensive Survey11 Feb 2025
- 2024Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques15 Oct 2024
- 2024Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning5 Sep 2024
- 2024A Practitioner's Guide to Continual Multimodal Pretraining26 Aug 2024
- 2024GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models21 Aug 2024
- 2024Towards Vision-Language Geo-Foundation Model: A Survey13 Jun 2024
- 2024Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment15 Feb 2024
- 2023RemoteCLIP: A Vision Language Foundation Model for Remote Sensingcited by 363
- 2024Towards Vision-Language Geo-Foundation Model: A Surveycited by 36
- 2023Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMscited by 34
- 2025Vision-Language Models for Edge Networks: A Comprehensive Surveycited by 29
- 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectivescited by 18
- 2024Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignmentcited by 15
- 2024GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Modelscited by 3
- 2024Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniquescited by 1
- 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives20 May 2025
- 2025Vision-Language Models for Edge Networks: A Comprehensive Survey11 Feb 2025
- 2024Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques15 Oct 2024
- 2024GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models21 Aug 2024
- 2024Towards Vision-Language Geo-Foundation Model: A Survey13 Jun 2024
- 2024Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment15 Feb 2024
- 2023Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs24 Nov 2023
- 2023RemoteCLIP: A Vision Language Foundation Model for Remote Sensing19 Jun 2023
- 2023GPT4GEO: How a Language Model Sees the World's Geographycited by 68
- 2023GPT4GEO: How a Language Model Sees the World's Geography30 May 2023
- 2025RemoteSAM: Towards Segment Anything for Earth Observationcited by 39
- 2024A Practitioner's Guide to Continual Multimodal Pretrainingcited by 23
- 2025AI Benchmark Democratization and Carpentrycited by 3
- 2025OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensingcited by 2
- 2025An MLCommons Scientific Benchmarks Ontologycited by 2
- 2024Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learningcited by 0
- 2025AI Benchmark Democratization and Carpentry12 Dec 2025
- 2025An MLCommons Scientific Benchmarks Ontology6 Nov 2025
- 2025RemoteSAM: Towards Segment Anything for Earth Observation23 May 2025
- 2025OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing28 Feb 2025
- 2024Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning5 Sep 2024
- 2024A Practitioner's Guide to Continual Multimodal Pretraining26 Aug 2024
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- 2023SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
- 2026OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs
- 2024Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations
- 2024VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
- 2025Falcon: A Remote Sensing Vision-Language Foundation Model (Technical Report)
- 2024Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification
- 2023RSGPT: A Remote Sensing Vision Language Model and Benchmark
- 2026OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks