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AI-102: How to Detect Harmful Content in Images Using Azure AI Analyze Image API?

Learn how the Analyze Image API from Azure AI Content Safety ensures safe content moderation by detecting inappropriate images with advanced AI technology. Perfect for global social media platforms!

Table of Contents

Question

Your organization, Nutex Corporation, is developing a social-media application that will be used worldwide. You have included a feature to upload images. You want to ensure that your application scans images for sexual content, violence, and hate.

You are using Azure AI Content Safety to achieve the objective. Which Azure AI Content Safety feature should you use in this scenario?

A. Custom categories API
B. Prompt Shields
C. Groundedness detection API
D. Analyze Image API
E. Computer Vision API

Answer

D. Analyze Image API

Explanation

You would use the Analyze Image API in the given scenario. The Analyze Image API is specifically designed to scan and analyze images for various types of content, including sexual content, violence, and hate. This API is part of Azure AI Content Safety and provides detailed analysis and moderation capabilities for images, making it the most suitable choice for this scenario.

You would not use Prompt Shields in the given scenario. The Prompt Shields feature in Azure AI Content Safety is designed to filter and moderate text-based content, ensuring that generated responses from AI models adhere to safety and appropriateness guidelines. It is valuable for managing text interactions. However, it is not suitable for analyzing image content for sexual content, violence, and hate.

You would not use the Groundedness detection API in the given scenario. Groundedness detection in Azure AI Content Safety refers to ensuring that AI-generated responses are based on factual and reliable information. This feature is mainly used for text analysis to prevent misinformation. It does not pertain to the analysis of images.

You would not use the custom categories API in the given scenario. The custom categories API allows users to define and manage their own categories for content moderation. It provides flexibility in defining specific content types to be moderated. However, it is not designed for analyzing image content for sexual content, violence, and hate.

You would not use the Computer Vision API in the given scenario. The Computer Vision API provides various image analysis features such as object detection, optical character recognition (OCR), and scene recognition. However, it is not tailored for content moderation related to sexual content, violence, and hate, which makes it less suitable than the Analyze Image API for this purpose.

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