This AI detects 11 types of emotions from a selfie

Machine learning models that assess our faces and movements are now a part of our lives through features like Face Unlock and Enimoji in smartphones. However, these models of artificial intelligence can't detect consumers' faces by their emotions. EmoNet can do this now
Researchers from the University of Colorado and Duke University have developed a neural net that can accurately classify images into 11 different emotional ratings

Researchers used 2187 videos to train this model of artificial intelligence. These videos could identify 27 different emotions, such as anger, surprise, and sadness.
The team of researchers obtained 137,482 frames from this video. Of these 1000 photos were selected, with all sorts of emotions.

After artificial intelligence training, researchers used 25,000 images to test their results.


Researchers say that artificial intelligence can accurately detect certain emotions, such as jealousy and fear, but it cannot detect confusion, applause, and surprise. ۔
In recent studies, many experts claimed that the consequences of emotion recognition cannot be relied on with the help of artificial intelligence.