EEGEyeNet

该数据集专为用于EEG回归任务而设计，其核心关注点是预测视线方向。此外，该数据集支持比较不同模型，如卷积神经网络（CNN）和EEGViT架构在均方根误差（RMSE）性能上的表现。总的来说，这项任务的目的是通过EEG数据进行视线预测。

This dataset is specifically designed for EEG regression tasks, with its core focus on predicting gaze direction. Additionally, it supports the comparison of various models such as Convolutional Neural Networks (CNN) and EEGViT architectures in terms of their Root Mean Squared Error (RMSE) performance. Overall, the objective of this task is to perform gaze prediction using EEG data.