Tanoy004 / Emotion-recognition-through-CNNLinks
Emotion Recognition through CNN is a deep learning model that detects seven facial emotions using a custom ConvNet. It combines features from LBP, ORB, and CNN, achieving up to 98.13% accuracy on JAFFE and 91.01% on FER2013. The model supports real-time emotion detection and is publicly available for research use. Trained with TensorFlow.
☆24Updated last year
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