mlsanityData to 7 Oct 2026

From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction

arXiv 2309.15535 ↗First posted 27 Sep 2023cs.CV cs.AI cs.LGcited by 14

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Abstract (arXiv)

Large datasets, such as LAION-5B, contain a diverse distribution of images shared online. However, extraction of domain-specific subsets of large image corpora is challenging. The extraction approach based on an anchor dataset, combined with further filtering, is proposed here and demonstrated for the domain of satellite imagery. This results in the release of LAION-EO, a dataset sourced from the web containing pairs of text and satellite images in high (pixel-wise) resolution. The paper outlines the acquisition procedure as well as some of the features of the dataset.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 12 of its 14 references that are in the map. First posted on arXiv 27 Sep 2023.

Builds on

12 of 14 references.

References · 12

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  4. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  5. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  6. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  7. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  8. 2017Billion-scale similarity search with GPUscited by 2,477
  9. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  10. 2023Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Trainingcited by 91
  11. 2023T-MARS: Improving Visual Representations by Circumventing Text Feature Learningcited by 43
  12. 2022Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolutioncited by 40

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Citing papers per year: 2023: 3; 2024: 6; 2025: 5.

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  1. 2024Major TOM: Expandable Datasets for Earth Observationcited by 31
  2. 2024On the Foundations of Earth and Climate Foundation Modelscited by 31
  3. 2024Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignmentcited by 15
  4. 2024Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Spacecited by 12
  5. 2025Instance-Level Composed Image Retrievalcited by 12
  6. 2023Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpaintingcited by 9
  7. 2025Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generationcited by 8
  8. 2025GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysiscited by 7
  9. 2025MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Datacited by 7
  10. 2023Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detectioncited by 3
  11. 2025COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnailscited by 2
  12. 2023Quantum Machine Learning for Remote Sensing: Exploring potential and challengescited by 0
2 more
  1. 2024Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signalcited by 0
  2. 2024Leveraging Multi-Temporal Sentinel 1 and 2 Satellite Data for Leaf Area Index Estimation With Deep Learningcited by 0