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Objective

To build a gender, age and ethnicity detector that can approximately guess the gender,age and ethnicity of the person (face) in a picture.

Project

In this Project, I had used Deep Learning to accurately identify the gender,age and ethnicity of a person from a single image of a face. Input image for prediction was taken through Telegram Bot.

Two models were created:

  1. Custom Model
  2. Using Technique of Transfer Learning MobileNet Model was created.

Technologies:

  • Programming Language: Python
  • Libraries: Pandas, Numpy, Tensorflow

Custom Model

Results

Working

Actual Age: 18

Actual Age: 45-50

Actual Age: 28

Actual Age: 8

Actual Age: 70

Datasets

  1. https://www.kaggle.com/jangedoo/utkface-new
  2. https://www.kaggle.com/nipunarora8/age-gender-and-ethnicity-face-data-csv

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