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AI-900: How to Count People in an Image Using Face Detection

Learn how to count the number of people present in an image using face detection, a Computer Vision model. Face detection is a technique that identifies human faces in digital images. It can be used to count the number of people in an image by detecting the faces of individuals and then counting the number of faces detected. This method is more accurate than other methods such as image analysis or optical character recognition, which are not designed for counting people in images.

Table of Contents

Question

You’re creating a solution that counts the number of people present in an image. Which Computer Vision model can help you achieve the task?

A. Face detection
B. Image Analysis
C. Optical character recognition

Answer

A. Face detection

Explanation

Face detection is a specialized form of object detection that locates human faces in an image. By counting all the faces, you can count all the people present in an image.

To count the number of people present in an image, you can use face detection as a Computer Vision model. Face detection is a technique that identifies human faces in digital images. It can be used to count the number of people in an image by detecting the faces of individuals and then counting the number of faces detected. This method is more accurate than other methods such as image analysis or optical character recognition, which are not designed for counting people in images.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump