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May 1, 2020
Live Facial Expression Detection Using Deep CNN (Keras/TensorFlow)
Real-time emotion recognition system trained on grayscale facial images and deployed to an interactive interface.
Delivered end-to-end model training, export, and live inference workflow for expression classification.
TensorFlowKerasOpenCVCNN
Overview
Built and trained a custom convolutional neural network to classify facial expressions into seven emotion categories.
Focus
- CNN training pipeline on 48x48 grayscale images
- Face detection and bounding-box extraction with OpenCV
- Real-time inference for video/image inputs
Project Links
Project Write-up: https://shamiulshifat.wordpress.com/2020/05/20/project-facial-expressions-detection-using-deep-convolutional-network-using-keras-tensorflow/
Certificate: https://coursera.org/share/5e66c852bf81e730899a9b9c74ea1992