Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
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Updated
May 7, 2023 - Jupyter Notebook
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
Facial Emotion Recognition using OpenCV and Deepface
A deep learning and image processing project used to predict the emotions of a person in image.
An Android app for real-time facial emotion recognition, designed to improve accuracy for Middle Eastern faces and women wearing hijabs. The CNN model is trained on a hybrid dataset (FER2013, CK+, JAFFE, and IEFDB), achieving 88% accuracy on the hybrid test set and 90% on IEFDB test set.
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