Vision-Language Model Ensembles Achieve Human-Expert Accuracy for Galaxy Merger Classification

Marco Chiaberge, Elias Stengel-Eskin, Massimo Stiavelli +1

Models (VLMs) combined using a Bayesian statistical framework can classify galaxy merger morphologies with accuracy comparable to trained human experts. We deploy 15 VLM classifier…