随机生成的泰国传统艺术风格数据集

本数据集由泰国农业大学计算机科学系创建，旨在通过人工智能技术将单一对象的黑白图像转换为泰国传统装饰图案。数据集包含3200张图像，其中训练集2900张，测试集300张。创建过程涉及从Kanok图案中选取基本元素，随机组合并调整大小、镜像和旋转。数据集主要应用于图像风格转换领域，特别是将现代图像转换为泰国传统艺术风格，以解决现有数据集中缺乏此类风格图像的问题。

This dataset was developed by the Department of Computer Science, Kasetsart University, Thailand, with the goal of converting black-and-white images of single objects into traditional Thai decorative patterns using artificial intelligence technologies. The dataset contains a total of 3200 images, including 2900 training samples and 300 test samples. Its creation process involves selecting basic elements from Kanok patterns, randomly combining them, adjusting their sizes, and applying mirroring and rotation operations. This dataset is primarily applied in the field of image style transfer, particularly for converting modern images into traditional Thai artistic styles, to solve the problem of insufficient images of this specific style in existing datasets.