Batik Nitik Sarimbit 120

Published: 19 February 2024| Version 1 | DOI: 10.17632/cx5sr2dgrr.1


Batik, deeply interwoven into the cultural tapestry of Indonesia, carries profound cultural and philosophical meanings within each intricately designed motif. This paper introduces the Batik Nitik Sarimbit 120 dataset, originating from the vibrant city of Yogyakarta, Indonesia. This dataset showcases 60 meticulously captured Nitik motifs, generously provided by the esteemed Paguyuban Pecinta Batik Indonesia (PPBI) Sekar Jagad Yogyakarta. Comprising a total of 120 images arranged in 60 pairs, the dataset was painstakingly captured using a Sony Alpha a6400 camera, meticulously adjusted under Godox SK II 400 lighting conditions, and subsequently formatted to jpg for standardization. This rich and comprehensive dataset serves as an invaluable resource for training and validating machine learning algorithms, particularly within the burgeoning field of generative adversarial networks (GANs). By leveraging this dataset, researchers and practitioners can delve into the intricate world of batik artistry, exploring avenues for computational creativity and innovation. The dataset's diversity and meticulous curation offer ample opportunities for studying the nuances of batik design and advancing the frontier of artificial intelligence in cultural heritage preservation. This scholarly contribution not only enriches our understanding of batik but also paves the way for future advancements in machine learning-driven creative endeavors.


Steps to reproduce

The following information pertains to a photo shoot that took place in September 2022 at APIP’s Batik in Yogyakarta, Indonesia. The studio in which the shoot was conducted measures 10 x 8 meters. The subject of the shoot was a type of fabric known as Batik Nitik. The photos were taken using a Sony Alpha 6400 camera with an 85-135mm Sony lens, and lighting was provided by a 2-set Godox II SK 400. The camera settings used were F1/10, a Shutter Speed of 1/10, ISO 200, a focal length of 135, a white balance of 5500 K, and a flashlight of 1/16. The resulting images had dimensions of 6024x4024 pixels in raw format, which were then filtered and saved as jpg files. The Nitik motif was captured one by one to ensure that each individual texture was recorded in detail.


Universitas Muhammadiyah Malang, Universitas Gadjah Mada


Art, Artificial Intelligence, Computer Vision, Cultural Heritage, Machine Learning, Generative Adversarial Network