Transforming Woven Ikat Fabric: Advanced Classification via Transfer Learning and Convolutional Neural Networks
Silvester Tena,
Bernadectus Yudi Dwiandiyanta
Abstract:The woven ikat fabric from Nusa Tenggara Timur is a local wisdom that must be preserved. Due to its vast array of motifs, users often encounter challenges in its recognition. For this study, the TenunIkatNet dataset was employed. One prominent recognition method involves classification based on the motif type and geographical origin. The efficacy of the classification is heavily contingent upon the method of extraction employed. The Convolutional Neural Network (CNN) method is used for feature extraction and c… Show more
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