Predicting Auction Prices for Artworks Using Neural Networks: A Multimodal Approach

We develop an algorithm to predict auction prices for paintings using a multimodal approach. Text descriptions, image features, and categorical metadata are integrated to create a comprehensive representation of each artwork. By combining Large Language Models, visual models, and other machine learning algorithms, we achieve accurate price predictions.