SIENA12

SIENA12是由信息工程与数学学院创建的数据集，包含12张灰度图像，旨在研究人类视觉注意力的分布。数据集通过高频率的眼动追踪系统收集，涉及23名年龄在23至52岁之间的观察者。这些图像涵盖自然景观、人造结构及抽象内容，用于自由观看任务，每张图像展示5秒。数据集的应用领域包括视觉注意力和眼动追踪技术的研究，旨在解决动态场景中视觉注意力的预测问题。SIENA12 is a dataset developed by the School of Information Engineering and Mathematics, which contains 12 grayscale images and is intended to study the distribution of human visual attention. The dataset was collected using a high-frequency eye-tracking system, involving 23 observers aged from 23 to 52 years old. These images cover natural landscapes, man-made structures and abstract content, and are used in free-viewing tasks, with each image displayed for 5 seconds. Its application fields include research on visual attention and eye-tracking technologies, aiming to address the problem of visual attention prediction in dynamic scenes.