STI数据集

STI数据集是由伊斯兰阿扎德大学纳杰法巴德分校计算机工程学院创建的，专注于石材纹理图像分析和表面缺陷检测。该数据集包含60张来自四种不同石材的图像，具有不同的尺寸、缩放比例和局部旋转，以及在不同光照和角度下的拍摄。数据集的创建旨在提供一个接近真实应用的基准，用于评估纹理分析和缺陷检测算法的性能。STI数据集特别适用于研究石材质量控制中的视觉检测系统，解决纹理分析和缺陷检测中的挑战性问题。

The STI Dataset was created by the School of Computer Engineering, Najafabad Branch, Islamic Azad University, focusing on stone texture image analysis and surface defect detection. It contains 60 images sourced from four distinct stone types, with varying dimensions, scaling ratios, local rotations, and captured under diverse lighting conditions and shooting angles. This dataset was developed to provide a real-world-aligned benchmark for evaluating the performance of texture analysis and defect detection algorithms. The STI Dataset is particularly suitable for researching visual inspection systems in stone quality control, addressing challenging issues in texture analysis and defect detection.