Microsoft Azure AI Fundamentals (AI-900)Describe features of computer vision workloads on AzureMedium
A retail company wants to analyze customer behavior in its stores. They plan to install cameras and use computer vision to identify the approximate age ranges and gender of customers entering specific departments, without identifying individuals. Which Azure AI Computer Vision capability should they use?
- AObject Detection
- BFacial Analysis
- CFace Recognition
- DImage Classification
Show answer & explanationAnswer & explanation
Correct answer: B. Facial Analysis
Facial Analysis is used to detect attributes like age, gender, emotion, and head pose from faces, without necessarily identifying the individual. This matches the requirement to identify approximate age ranges and gender without identifying individuals.
Why the other options are wrong
- A. Object Detection identifies and locates general objects, but not specific facial attributes like age or gender.
- C. Face Recognition is used to identify specific individuals, which is explicitly excluded by the 'without identifying individuals' requirement.
- D. Image Classification categorizes entire images, not specific attributes of faces within an image.
Facial Analysis
A computer vision capability that extracts attributes from human faces within an image, such as age, gender, emotion, and head pose, without identifying the person.
- Focuses on attributes of a face, not identity.
- Commonly used for demographic analysis and emotional understanding.
- Differs from Face Recognition, which aims to identify individuals.
Memory trick: Faces can be identified, analyzed, or simply detected.