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Age and Gender Prediction using machine learning

Age and gender prediction using image processing

Price : 5000

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Course Duration
Approx 10

Course Price
₹ 5000

Course Level
Top

Course Content

Age has always been an important feature of our identity. It is also an important factor in our social life. Predictions of age made with artificial intelligence can be applied to many areas such as intelligent human-machine interface development, security, cosmetics, electronic commerce. In this study, face images of persons were trained using convolutional neural networks, and age and gender were tried to be predicted with high success rate. Age and gender identification have become a major part of the network, security and care. It has a common use in age specific content access for children. Social media uses it in delivering layered ads and marketing to extend it’s a reach. Face recognition has developed to a great extent that we have to map it further in getting more useful results having different approaches.

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. And so, we make this a classification problem instead of making it one of regression

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