Dataset Endek GAN

The Endek dataset consists of 156 unique motifs of Endek, a traditional woven fabric from Bali, Indonesia. Each motif represents distinct visual patterns and color compositions that reflect the cultural and artistic heritage of Balinese textile design. The dataset has been curated to capture the diversity of Endek motifs, including geometric, floral, and symbolic patterns that are commonly used in ceremonial and contemporary contexts.
This dataset is specifically prepared for research in Generative Adversarial Networks (GANs) and other machine learning applications, enabling tasks such as motif generation, style transfer, pattern classification, and cultural heritage preservation. The availability of 156 motifs provides sufficient variation to train and evaluate deep learning models, while also serving as a valuable resource for digital textile innovation and computational art studies.

This research and dataset development were funded and supported by the Ministry of Higher Education, Science, and Technology (Kemdiktisaintek) of the Republic of Indonesia through the Directorate of Research and Community Service, Directorate General of Research and Development.

恩德克（Endek）数据集收录了印度尼西亚巴厘岛传统编织织物恩德克的156种独特纹样。每一种纹样都拥有独特的视觉图案与色彩搭配，承载着巴厘岛纺织设计的文化与艺术遗产。本数据集精心编纂，旨在全面展现恩德克纹样的多样性，涵盖常用于仪式场合与现代应用场景的几何、花卉及象征性图案。

本数据集专为生成对抗网络（Generative Adversarial Networks，GANs）及其他机器学习应用研究打造，可支持纹样生成、风格迁移、图案分类以及文化遗产保护等相关任务。156种纹样所提供的充足变体，足以支撑深度学习模型的训练与评估，同时也可为数字纺织创新与计算艺术研究提供宝贵资源。

本项研究与数据集开发由印度尼西亚共和国高等教育、科学与技术部（Kemdiktisaintek）通过研究与社区服务总局、研究与发展总司提供资助与支持。