Gender/Race/Emotion classifications based on facial multi-attribute detection were realized through data pre-processing, face detection and extraction by OpenCV, developing training models through “Fisherfaces” and “Convolutional Neural Network” approaches by TensorFlow and Keras with accuracy of 98.44%, 84.24%, and 70% respectively. A web app w…
☆11Dec 31, 2018Updated 7 years ago
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