EEGET-RSOD

We introduce the EEGET-RSOD, a simultaneous electroencephalography (EEG) and eye-tracking dataset for remote sensing object detection. This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specific objects in 1,000 remote sensing images within a limited time frame. This task reflects the typical cognitive processes associated with human visual search and object identification in remote sensing imagery. To our knowledge, EEGET-RSOD is the first publicly available dataset to offer synchronized eye-tracking and EEG data for remote sensing images. We believe that this dataset can not only serve to improve the performance of machine learning models across a variety of tasks related to remote sensing interpretation, but will also contribute to advancing research in the broader areas, such as human visual attention and cognitive process of image at the level of brain activity and eye-movement.<br><i>我们提出了 EEGET-RSOD 数据集，这是一个用于遥感目标检测的同步 EEG 和眼动追踪数据集。该数据集包括来自 38 位遥感解释专家</i><i>在 1000 张遥感图像中搜索特定对象时的</i><i>脑电图和眼动追踪数据。参与者的任务是在有限的时间内搜索和识别目标，模拟在遥感图像中目标检测的典型人类视觉认知过程。EEGET-RSOD 是第一个</i><i>用于遥感目标检测的</i><i>眼动和 EEG 同步公共数据集，它为遥感影像解释提供了新的数据。我们相信这个数据集将有助于为各种任务训练改进的机器学习模型。此外，它还在大脑活动和眼球运动层面推进了对人类视觉解释过程和地理空间认知的研究。</i><br><br>