Age gender facial expression

Work fast with our official CLI. Learn more. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Deepface is a lightweight face recognition and facial attribute analysis age , gender , emotion and race framework for python.

The relationship between gender and emotional expression describes differences in how men and women express their emotions. A prevalent gender stereotype is that women are naturally more emotionally expressive than men, [1] and are naturally more prone to express discrete emotions such as happiness, fear, disgust, and sadness. However, psychological research has concluded that the observed emotional differences between men and women primarily stem from socialized gender roles , rather than biology. Thus, the range of emotional expression that certain populations experience is based largely on cultural expectations of femininity and masculinity. Many psychologists reject the notion that men actually experience emotions less frequently than do women. Instead, researchers have suggested that men exhibit restrictive emotionality. Restrictive emotionality refers to a tendency to inhibit the expression of certain emotions and an unwillingness to self-disclose intimate feelings.

Facial expressions are used to communicate emotions. They can also occur solitarily, without other people being present. People often imagine themselves in social situations when alone, resulting in solitary facial expressions.

Facial recognition has already been a hot topic of What is the best facial recognition API? Offers a wide variety of image recognition solutions through their API. Their API endpoints include identifying gender, age, emotional depth, facial recognition in both photo and video, and more.