AffectNet

AffectNet is a comprehensive database of images used by researchers to study human emotions. It contains thousands of pictures of people expressing different feelings, along with labels that identify the specific emotion shown—such as happiness, sadness, anger, or surprise. By analyzing these images, scientists develop algorithms to recognize and interpret human emotions from facial expressions. AffectNet helps improve technologies like emotion-aware virtual assistants and mental health tools. Overall, it provides a valuable resource for advancing understanding of how emotions are expressed and detected through facial cues.