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.
847 stars. No commits in the last 6 months.
Use this if you are a student or researcher in a university setting exploring foundational concepts of emotion recognition from facial images using deep learning, particularly for a course project.
Not ideal if you need a reliable, high-accuracy emotion recognition system for real-world applications or production, as the dataset quality is noted to be poor and the project itself is currently not functional.
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Language
Python
License
MIT
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Last pushed
Nov 22, 2022
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