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- Machine Learning
- Python
Age and gender estimation from a single face image is crucial in social interactions, access control, human-computer interaction, law enforcement, marketing, and surveillance. OpenCV, short for Open Source Computer Vision, is an open-source library supporting real-time image and video processing with deep learning frameworks like TensorFlow, Caffe, and PyTorch. Convolutional Neural Networks (CNNs), widely used for image recognition and NLP, consist of input and output layers and multiple hidden convolutional layers, functioning as regularized multilayer perceptrons.
Module Description
Input Image Collection
collecting images from video or collecting raw images to which we need to predict the gender and age of person
Face Detection
From the image it is needed to predict the accurate face position
Feature Extraction
Extracting facial features from the detected face
Prediction
Comparing the extracted features from the given image with the dataset and predict age and gender
- AgeAndGenderEstimation
- ConvolutionalNeuralNetworks
- OpenCV
