@article{article_1019451, title={Automatic Mustache Pattern Production on Denim Fabric with Generative Adversarial Networks}, journal={Computer Science}, volume={Vol: 7}, pages={1–9}, year={2022}, DOI={10.53070/bbd.1019451}, author={Şahin, Emrullah and Talu, Muhammed Fatih}, keywords={Mustache pattern, Laser engraving, Denim Fabric, Generative adversarial networks}, abstract={Mustache patterns drawn on denim jeans are created with a laser beam device. For this device to draw the desired mustache pattern, the pattern visual must be prepared. For the mustache patterns in the sample jeans taken from the customer to be transferred to the visual, specialist personnel in the Photoshop program should perform an average of 2-3 hours of work. This situation causes the production speed to slow down and human errors occur. In this study, a new approach is proposed that automatically produces the pattern visual by detecting the mustache patterns in the sample jeans samples to be taken from the customer. In this approach, an updated version of the Pix2Pix architecture within the Generative adversarial network (GAN) is used to produce mustache pattern images. The training was carried out with a dataset constructed from jeans and mustache pattern images, and the production of different mustache patterns depending on the personnel was prevented. As a result of the experimental studies, while the production speed of the mustache pattern fell below one second, it is seen that the production accuracy is around 89%. The next study, it is aimed to increase the accuracy by ensuring the standardization of the images in the dataset.}, number={Issue: 1}, publisher={Ali KARCI}, organization={İnönü Üniversitesi Bilimsel Araştırma ve Koordinasyon Birimi}