Vision-based housing price estimation using interior, exterior & satellite images

•Collecting a large dataset of interior, exterior, and satellite images of houses.•A novel housing price estimation method considering interior, exterior, and satellite visual attributes of the house.•Deep convolutional neural network trained on a dataset to extract visual features of the houses and classify luxury levels.•Comparing the efficiency of the proposed method with commercial services like Zestimate.