DAiSEE

DAiSEE is a multi-label video classification dataset comprising of 9,068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration "in the wild". The dataset has four levels of labels namely - very low, low, high, and very high for each of the affective states, which are crowd annotated and correlated with a gold standard annotation created using a team of expert psychologists.

DAiSEE是一款多标签视频分类数据集，涵盖从112名用户处采集的9068段视频片段，用于识别用户在真实场景中的无聊、困惑、投入与沮丧四类情感状态。该数据集为每种情感状态提供了极低、低、高、极高四个等级的标注，所有标注均经众包完成，并与由专业心理学家团队构建的金标准标注相关联。