Facial Expression Recognition Dataset – 1,142 People, 7 Emotions, Online Conference Scenes

facial expression recognition dataset

emotion recognition dataset

facial expression dataset

face emotion dataset

This dataset contains facial expression recognition data from 1,142 people in online conference scenes. Participants include Asian, Caucasian, Black, and Brown individuals, mainly young and middle-aged adults. Data was collected across a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries , bedroom, etc., Each participant performed seven key expressions: normal, happy, surprised, sad, angry, disgusted, and fearful. The dataset is suitable for tasks such as facial expression recognition, emotion recognition, human-computer interaction, and video conferencing AI applications.

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Specifications

Data size

1,142 people, each person collects 7 videos

Race distribution

153 Asians, 889 Caucasians, 66 blacks, 34 brown people

Gender distribution

535 males, 607 females

Age distribution

from teenagers to the elderly, mainly young and middle-aged

Collection environment

indoor office scenes, such as meeting rooms, coffee shops, libraries, bedrooms, etc.

Collection diversity

different facial expressions, different races, different age groups, different meeting scenes

Collection equipment

cellphone, using the cellphone to simulate the perspective of the laptop camera in online conference scenes

Collection content

collecting the expression data in online conference scenes

Data format

.mp4, .mov

Accuracy rate

the accuracy exceeds 97% based on the accuracy of the expressions; the accuracy of expression naming is more than 97%

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