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Gender-and-Age-Detection

Aim of the Project:

To build a Gender and Age detection system using Python .

About the Project :

In this Python Project, I had used Deep Learning to accurately identify the gender and age of a person from a single image of a face. I used the pre-trained models. The gender may be one of ‘Male’ and ‘Female’, and the age may be one of the following ranges- (0-2)', '(4-6)', '(8-12)', '(15-20)', '(20-24)', '(25-40)', '(41-53)', '(60-100)'. It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions.

Additional Python Libraries Required :

  • OpenCV
  • argparse

The contents of this Project :

  • opencv_face_detector.pbtxt
  • opencv_face_detector_uint8.pb
  • age_deploy.prototxt
  • age_net.caffemodel
  • gender_deploy.prototxt
  • gender_net.caffemodel
  • identify.py

Commands to Run:

  • python identify.py
  • python identify.py --image shubh.jpeg

OutPut

Output image

Author :

Shubham Bhoite