Facial Emotion Recognition using OpenCV and Deepface
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Updated
Mar 14, 2025 - Python
Facial Emotion Recognition using OpenCV and Deepface
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
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.
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild
🎭 Detect emotions in real-time from your webcam using DeepFace and OpenCV for instant feedback on feelings like Happy, Sad, and Angry.
Facial expression recognition application that detects faces and classifies emotions from live camera input or uploaded images.
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