You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?
Key word is "image tagging".
Source: https://learn.fotoware.com/On-Premises/Color_Factory/Color_Factory_Reference_Guide/Managing_Metadata/Automatic_tagging_using_Azure_Computer_Vision_image_recognition
D. Computer Vision
The Computer Vision service can analyze visual content in images and return tags, descriptions, and even detect objects and people, making it the right choice for image tagging on social media.
Models in the Computer Vision are trained by MS and are ready to use without any customization. The question said that you need to tag images of "your friends". So that "A" should be correct.
he Azure Cognitive Services service that should be used to build an image tagging solution for social media that tags images of your friends automatically is Computer Vision
I think FACE is a better choice because it is a specific task of tagging friends and FACE is specifically designed for human face recognition and analysis, including identifying people in photos. Computer vision is intended for general image analysis and would be less accurate. I think FACE is the best choice.
Face is the correct answer , computer vision is pre-built model
In order to detect your friends face you should
Face Detection and Recognition: It can accurately detect faces within an image and recognize individuals.
Person Identification: If you have a database of your friends' faces, the service can identify them in new photos.
Customization: You can train the service to recognize specific individuals, improving accuracy over time.
Integration: It can be integrated into various applications and platforms.
The key is "image tagging" not "face". From copilot:
For automating image tagging in social media, specifically targeting images of your friends, the ideal Azure Cognitive Services solution would be Computer Vision. This service can extract a wide variety of visual features from images, including content tags for recognizable objects, living beings, scenery, and actions. It’s not limited to just the main subject (such as a person in the foreground) but also includes settings (indoor or outdoor), furniture, tools, plants, animals, accessories, and more.
Face The Face service provides AI algorithms that detect, recognize, and analyze human faces in images. Facial recognition software is important in many different scenarios, such as identification, touchless access control, and face blurring for privacy. Follow the Face quickstart to get started.
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