The study of colors has attracted Artificial Intelligence researchers for many years. Nevertheless, there are aspects of this issue that are still little analyzed. One of them is the investigation of fabric colors, which has some peculiarities, such as the necessity to handle textures, that are not found in other scenarios. In this paper, we present DLE4FC, a deep learning ensemble for identifying fabric colors. Specifically, we introduce the general basic model, which consists of a particular Convolutional Neural Network, define three versions of it and integrate them into an ensemble to get better results. Finally, we test our ensemble and compare it with other already known systems.
DLE4FC: a Deep Learning Ensemble to Identify Fabric Colors
Amelio A.Primo
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2023-01-01
Abstract
The study of colors has attracted Artificial Intelligence researchers for many years. Nevertheless, there are aspects of this issue that are still little analyzed. One of them is the investigation of fabric colors, which has some peculiarities, such as the necessity to handle textures, that are not found in other scenarios. In this paper, we present DLE4FC, a deep learning ensemble for identifying fabric colors. Specifically, we introduce the general basic model, which consists of a particular Convolutional Neural Network, define three versions of it and integrate them into an ensemble to get better results. Finally, we test our ensemble and compare it with other already known systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
