Batik Nitik 960 Dataset for Classification, Retrieval, and Generator
Penulis/Author
Agus Eko Minarno (1); Dr. Indah Soesanti, S.T., M.T. (2); Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (3)
Tanggal/Date
2023
Kata Kunci/Keyword
Abstrak/Abstract
Batik is one of the traditional heritages of Indonesia, with each motif of batik having a
profound cultural and philosophical significance. This article introduces Batik Nitik 960 dataset
from Yogyakarta, Indonesia. The dataset was extracted from a piece of fabric with 60 Nitik patterns.
The dataset was supplied by the Paguyuban Pecinta Batik Indonesia (PPBI) Sekar Jagad Yogyakarta
collection of Winotosasto Batik and the data were extracted from the APIPS Gallery. Each of the
60 categories in the collection contains 16 photographs, for a total of 960 images. The photographs
were acquired with a Sony Alpha a6400, illuminated with a Godox SK II 400, and the data were
compressed using the jpg file format. Each category contains four motifs rotated by 90, 180, and
270 degrees. Thus, the total number of images per motif is 16. Each class has a specific philosophical
significance associated with the motif’s origins. This dataset aims to enable the training and evaluation
of machine learning models for classification, retrieval, or generation of a new batik pattern using
a generative adversarial network. To our knowledge, this study is the first to present a Batik Nitik
dataset equipped with philosophical significance that is freely accessible.
Rumpun Ilmu
Teknik Elektro
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
Batik Nitik 960 Dataset for Classification_compressed.pdf
