emotion-recognition-neural-networks and facial-expression-recognition-using-cnn
About emotion-recognition-neural-networks
isseu/emotion-recognition-neural-networks
Emotion recognition using DNN with tensorflow
This project helps researchers or students in the field of human-computer interaction or psychology to automatically categorize human emotions from facial images. It takes a collection of facial photographs as input and classifies them into one of seven emotional expressions (angry, disgusted, fearful, happy, sad, surprised, and neutral) as output. This would be used by someone studying emotional responses or building systems that react to user emotions.
About facial-expression-recognition-using-cnn
amineHorseman/facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
This project helps you automatically detect and categorize human facial expressions like 'angry,' 'happy,' or 'sad' from images or live video. It processes facial imagery to output the dominant emotion, making it useful for analyzing emotional responses. Anyone working with visual data that needs to understand emotional cues can use this.
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