Buana Information Technology and Computer Sciences (Jan 2024)

A Detection of Malacca Woven Fabric Motifs Using the YOLOv4 Method

  • Adi Neno,
  • Aviv Yuniar Rahman,
  • Fitri Marisa

DOI
https://doi.org/10.36805/bit-cs.v5i1.6081
Journal volume & issue
Vol. 5, no. 1
pp. 45 – 50

Abstract

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Malacca is one of the districts that has a weaving culture and also produces woven cloth in East Nusa Tenggara. The large number of types of woven cloth from each Malacca tribe means that outsiders and even native Malacca people are not yet familiar with typical Malacca motifs, therefore a system is needed that can help make it easier for people to recognize the types of woven fabric motifs. Malacca woven fabric in this study was used to detect the types of woven fabric motifs in Malacca district using the YOLOv4 method. The results of detecting Malacca woven fabric motifs correspond to each type of woven fabric. Apart from that, the Malacca woven fabric motif detection system with YOLOv4 technology is an effective and efficient solution in recognizing Malacca woven fabric motifs. Malacca woven fabric is classified into four classes with an impressive mAP score of 100%.

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