Practical-11 Using Image Data, Predict the gender and age range of an individual in Python
Using image data, predict the gender and age range of an individual in Python In this Python Project, we will use Deep Learning to accurately identify the gender and age of a person from a single image of a face. We will use the models trained by Tal Hassner and Gil Levi. The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following ranges- (0–2), (4–6), (8–12), (15–20), (25–32), (38–43), (48–53), (60–100) (8 nodes in the final softmax layer). It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions. The CNN Architecture Th e convolutional neural network for this python project has 3 convolutional layers: Convolutional layer; 96 nodes, kernel size 7 Convolutional layer; 256 nodes, kernel size 5 Convolutional layer; 384 nodes, kernel size 3 It has 2 fully connected layers, each with 512 nodes, and a final output layer of softmax type. Fo...