EmotionNet

EmotionNet is a comprehensive database that contains a wide variety of facial images labeled with the emotions they express, such as happiness, sadness, anger, or surprise. Its purpose is to help computers learn to recognize human emotions from facial cues, enabling applications like improved human-computer interaction, psychological research, and emotion-aware systems. By providing diverse, accurately labeled images, EmotionNet helps machine learning models understand the subtle variations in facial expressions associated with different feelings, advancing the development of emotion recognition technology in a reliable and systematic way.