This project implements real-time emotion recognition using a custom-trained YOLOv8 model for face detection and a Haarcascade classifier. The emotion detection is powered by a CNN trained on the FER-2013 dataset, classifying seven emotions: angry, disgust, fear, happy, neutral, sad, and surprise.
☆16Oct 19, 2024Updated last year
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