Facial Expression Recognition
A machine learning-based system to automatically recognize and classify facial expressions from images.
The facial expression recognition system uses deep learning to analyze facial images and classify them into distinct emotional categories. The dataset for training the model includes thousands of labeled images representing various emotions. The architecture of the model involves Convolutional Neural Networks (CNNs), which specialize in image-based tasks. After training the model, it can predict emotions such as happiness, sadness, anger, and fear with a high level of accuracy.
This research project represents the cutting edge of facial recognition technologies, aiming to improve human-computer interaction by enabling machines to better understand human emotions.
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