Artificial intelligence to estimate wine volume from single-view images
Miriam Cobo, Ignacio Heredia, Fernando Aguilar, L. Lloret Iglesias, Daniel García, Begoña Bartolomé, M. Victoria Moreno‐Arribas, Sílvia Yuste, Patricia Pérez‐Matute, María‐José Motilva
Abstract
In this paper, we present a method to determine the volume of wine in different types of glass liquid containers from a single-view image. The proposed model predicts red wine volume from a photograph of the glass containing the wine. Experimental results demonstrated satisfactory performance of our image-based wine measurement system, with a Mean Absolute Error lower than 10mL. To train and evaluate our system, we introduced the WineGut_BrainUp dataset, a new dataset of glasses of wine that contains 24305 laboratory images, including a wide range of containers, volumes of wine, backgrounds, object distances, angles and lightning, with or without calibration object. The proposed methodology is a suitable analytical tool for automate measurement of red wine volume. Indeed, it has potential real life applications in diet monitoring and wine consumption studies.