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Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.
ImanNoferesti/Emotion_AI_Python
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Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.
Topics
computer-vision
deep-learning
image-processing
resnet
convolutional-neural-networks
data-normalization
expression-recognition
image-augmentation
facial-expressions
emotion-detection
tensorflow-serving
model-deployment
model-training
emotion-classification
residual-blocks
dataset-visualization
data-scaling
automated-monitoring
facial-key-point-detection
key-point-prediction
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