arXiv · 2105.06060
House Price Prediction using Satellite Imagery
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.
Explore related subjects
Keep this discovery
Sina Jandaghi Semnani, Hoormazd Rezaei. 2021-05-13. House Price Prediction using Satellite Imagery. https://arxiv.org/abs/2105.06060
Cite the original work for its findings. Save a collection to share your selection of sources.