How does Azure Computer Vision handle inappropriate content in images?

• A. By filtering out low-resolution images
• B. By tagging all images as safe
• C. By detecting and flagging potentially inappropriate content
• D. By removing all metadata from images

Answer: (C)

Azure Computer Vision effectively manages inappropriate content in images through the detection and flagging of potentially harmful or offensive materials. This capability is essential for maintaining a safe environment for users and complies with guidelines for appropriate content.

When images are analyzed, the system utilizes advanced algorithms that identify various types of inappropriate content, including but not limited to nudity, violence, hate symbols, and other objectionable material. By tagging these images as needing review or blocking them from use, Azure Computer Vision helps organizations and developers enforce content moderation policies.

The other options do not align with how Azure Computer Vision addresses content safety. Low-resolution images are filtered for performance reasons rather than content appropriateness. Tagging all images as safe would not facilitate effective content moderation, as it would ignore potentially harmful material. Lastly, removing all metadata from images does not relate to detecting inappropriate content and could undermine useful context and information retained within the images.