GitHub topics: key-point-prediction
ImanNoferesti/Emotion_AI_Python
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.
Language: Jupyter Notebook - Size: 56.9 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Related Keywords
automated-monitoring
1
computer-vision
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convolutional-neural-networks
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data-normalization
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data-scaling
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dataset-visualization
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deep-learning
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emotion-classification
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emotion-detection
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expression-recognition
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facial-expressions
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facial-key-point-detection
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image-augmentation
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image-processing
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key-point-prediction
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model-deployment
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model-training
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residual-blocks
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resnet
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tensorflow-serving
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