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House Price Prediction using Satellite Imagery

13 May 2021
Sina J. Semnani
Hoormazd Rezaei
ArXiv (abs)PDFHTML
Abstract

In this paper we show how using satellite images can improve the accuracy of housing price estimation models. Using Los Angeles County's property assessment dataset, by transferring learning from an Inception-v3 model pretrained on ImageNet, we could achieve an improvement of ~10% in R-squared score compared to two baseline models that only use non-image features of the house.

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