Cross-Modal Learning of Housing Quality in Amsterdam

arXiv:2403.08915v1 Announce Type: new
Abstract: In our research we test data and models for the recognition of housing quality in the city of Amsterdam from ground-level and aerial imagery. For ground-level images we compare Google StreetView (GSV) to Flickr images. Our results show that GSV predicts the most accurate building quality scores, approximately 30% better than using only aerial images. However, we find that through careful filtering and by using the right pre-trained model, Flickr image features combined with aerial …

abstract aerial arxiv building city cs.ai cs.cv data google housing images modal quality recognition research results show test type