This model recognizes various face emotions like angry, sad, neutral, happy. The architecture used in this project is VGG-16. This model recognizes the face emotions from a live video sequence. The data used to train the model was the FER2013 dataset which is a very large collection of human-annotated photographs.
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This model recognizes various face emotions like angry, sad, neutral, happy. The architecture used in this project is VGG-16. This model recognizes the face emotions from a live video sequence. The data used to train the model was the FER2013 dataset which is a very large collection of human-annotated photographs.
Nikhil27-sudo/Facial-Emotion-Detection
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This model recognizes various face emotions like angry, sad, neutral, happy. The architecture used in this project is VGG-16. This model recognizes the face emotions from a live video sequence. The data used to train the model was the FER2013 dataset which is a very large collection of human-annotated photographs.
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