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cs.CV2025
Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research
Hamid Sarmadi, Ola Hall, Thorsteinn Rögnvaldsson +1
This paper investigates the novel application of Large Language Models (LLMs) with vision capabilities to analyze satellite imagery for village-level poverty prediction. Although L…
cs.CV2023
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
Hamid Sarmadi, Thorsteinn Rögnvaldsson, Nils Roger Carlsson +3
Deep convolutional neural networks (CNNs) have been shown to predict poverty and development indicators from satellite images with surprising accuracy. This paper presents a first…