{"id":5890,"date":"2020-10-22T19:56:39","date_gmt":"2020-10-22T19:56:39","guid":{"rendered":"https:\/\/data-science.gotoauthority.com\/2020\/10\/22\/how-to-build-gender-wise-face-recognition-and-counting-application-with-opencv\/"},"modified":"2020-10-22T19:56:39","modified_gmt":"2020-10-22T19:56:39","slug":"how-to-build-gender-wise-face-recognition-and-counting-application-with-opencv","status":"publish","type":"post","link":"https:\/\/wealthrevelation.com\/data-science\/2020\/10\/22\/how-to-build-gender-wise-face-recognition-and-counting-application-with-opencv\/","title":{"rendered":"How to Build Gender Wise Face Recognition and Counting Application With OpenCV"},"content":{"rendered":"
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In this article, we are going to learn how to build a computer vision and deep learning combination application. Which performs gender wise face recognition<\/strong> with opencv and counts the people in the image or in the video.<\/p>\n

In other words with the help of deep learning and computer vision algorithms using python opencv as a modeling package<\/a>, we will classify the gender \u00a0and count the faces for a given image\/video.<\/p>\n

Building these kinds of models makes life easier with the enhancements over the deep learning field.<\/p>\n

Nowadays deep learning field is one of the most revolutionary technologies with rapid enhancement growth. It gives machines the ability to think<\/strong> and learn on their own. The key motivation for deep learning is to build algorithms<\/a> that mimic the human brain<\/strong>.<\/p>\n

You might have also heard about Computer Vision. Often abbreviated as OpenCV<\/strong>. Which is defined as a sub field of study that seeks to develop techniques to help computers \u201csee\u201d and understand the content of digital images<\/a> such as photographs and videos.<\/p>\n<\/div>\n

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Learn how to build a gender wise face recognition application with opencv #deeplearing #opencv #computervision #python\u00a0<\/p>\n<\/div>\n

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With the high end research in deep learning, a lot of new applications of computer vision techniques have been introduced. Which have now become integral \u00a0parts of our everyday lives.\u00a0<\/p>\n

These include <\/p>\n