House Price Prediction using Satellite Imagery

13 May 2021 · Sina Jandaghi Semnani, Hoormazd Rezaei ·

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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1x1 Convolution • Auxiliary Classifier • Average Pooling • Convolution • Dense Connections • Dropout • Inception-v3 • Inception-v3 Module • Label Smoothing • Max Pooling • Softmax

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House Price Prediction using Satellite Imagery

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