House Price Prediction using Satellite Imagery

• URL: http://arxiv.org/abs/2105.06060v1
• Date: Thu, 13 May 2021 03:25:32 GMT
• Title: House Price Prediction using Satellite Imagery
• Authors: Sina Jandaghi Semnani, Hoormazd Rezaei
• Abstract summary: We show how using satellite images can improve the accuracy of housing price estimation models. By transferring learning from an Inception-v3 model pretrained on ImageNet, we could achieve an improvement of 10% in R-squared score.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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