Computer Vision Datasets

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.

The 68,405 Videos – Micro-Expression Dataset provides 57 types of subtle facial expressions across diverse populations and environments. Including Asian, Black, Caucasian and Brown individuals; age includes under 18, 18-45, 46-60, and over 60; collection environment includes indoor scenes and outdoor scenes; it can be used in various scenes such as facial recognition, emotion recognition and nonverbal behavior analysis.