if you want the project pls call @8125424511
Gender and Age Detection with OpenCV
What is Computer Vision?
Computer Vision is the field of study that enables computers to see
and identify digital images and videos as a human would. The challenges it
faces largely follow from the limited understanding of biological vision.
Computer Vision involves acquiring, processing, analyzing, and understanding
digital images to extract high-dimensional data from the real world in order to
generate symbolic or numerical information which can then be used to make
decisions. The process often includes practices like object recognition, video
tracking, motion estimation, and image restoration.
What is OpenCV?
OpenCV is short for Open Source Computer Vision.
Intuitively by the name, it is an open-source Computer Vision and Machine
Learning library. This library is capable of processing real-time image and
video while also boasting analytical capabilities. It supports the Deep
Learning frameworks TensorFlow, Caffe, and PyTorch.
What is a CNN?
A Convolutional
Neural Network is
a deep neural network (DNN) widely used for the purposes of image recognition
and processing and NLP. Also known as
a ConvNet, a CNN has input and output layers, and multiple hidden layers, many
of which are convolutional. In a way, CNNs are regularized multilayer
perceptrons.
Gender and Age Detection Python
Project- Objective
To build a gender and age detector that
can approximately guess the gender and age of the person (face) in a picture
using Deep Learning on the Adience dataset.
Gender and Age Detection – About the
Project
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.
The CNN Architecture
The
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.
To go about the python project, we’ll:
·
Detect faces
·
Classify into Male/Female
·
Classify into one of the 8 age ranges
·
Put the results on the image and display
it
output screens :
thank you for your comment
pls call me on 8125424511