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facial-key-point-detection
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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.
computer-visiondeep-learningimage-processingresnetconvolutional-neural-networksdata-normalizationexpression-recognitionimage-augmentationfacial-expressionsemotion-detectiontensorflow-servingmodel-deploymentmodel-trainingemotion-classificationresidual-blocksdataset-visualizationdata-scalingautomated-monitoringfacial-key-point-detectionkey-point-prediction
- Updated
Nov 30, 2024 - Jupyter Notebook
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