EEG Dataset from Kumar et al.

该数据集包含了23名志愿者在观看ImageNet数据集中的10个不同物体类别各10个视觉刺激例证时的脑电波（EEG）记录。使用Emotiv EPOC耳机收集的脑电数据包含14个通道，采样频率为128赫兹。虽然数据集没有提供脑电部分与特定图像之间的一对一映射，但确实包括了与物体类别之间的映射。规模方面，涉及23名志愿者，对应测试信号的5706张图像，以及用于评估的总计50000张图像。任务目标是合成与特定类别图像展示时获得的输入脑电信号相对应的图像。

This dataset contains electroencephalogram (EEG) recordings from 23 volunteers while they viewed 10 visual stimulus exemplars for each of 10 distinct object categories from the ImageNet dataset. The EEG data, collected using an Emotiv EPOC headset, includes 14 channels with a sampling frequency of 128 Hz. Although the dataset does not provide one-to-one mappings between EEG segments and specific individual images, it does include mappings to object categories. In terms of scale, the dataset involves 23 volunteers, 5706 images corresponding to test signals, and a total of 50000 images for evaluation. The task objective is to synthesize images corresponding to the input EEG signals obtained when images of a specific category are displayed.