IDETIFIKASI UKURAN PAKAIAN BERBASIS IMAGE PROCESSING

Abstract

Data becomes a valuable asset today. With so much data, current technology can open  up the possibility to process and make predictions. Machine Learning (ML) is part of  Artificial Intelligence (AI) which has become an important tool in software systems in  optimizing running systems. Image Classification is one of the topics of Machine  Learning that is widely used in machine learning. The application of image  classification on the server-side is often done in every complex classification problem  because it requires large computing power. This application uses the ml5.js library as  a javascript library to process data in machine learning. The application of machine  learning for clothing measurement allows users to make it easier to determine the size  of clothes at the Reevant Supply IND store. Meanwhile, to support the use of machine  learning on the website, a pre-trained model is needed. This study examines neural  network settings such as epoch and optimal learning rate. In addition, to prove that you  can be superior in training time and loss function values. The results of this study prove  that it is easier for users to determine the size of clothes purchased at the Reevant  Supply IND store much faster than prior consultation with the store admin