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Detect harmful or offensive content in images
Image Moderation

Image Moderation

Analyze images and check for unsafe content

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What is Image Moderation ?

Image Moderation is a tool designed to analyze images and detect harmful or offensive content. It helps ensure that visual content adheres to safety guidelines by automatically identifying unsafe or inappropriate material. This tool is particularly useful for platforms that host user-generated content, such as social media, forums, or e-commerce sites.

Features

  • AI-Powered Analysis: Uses advanced AI models to detect unsafe content in images.
  • Customizable Filters: Allows users to define specific criteria for moderation based on their needs.
  • High-Speed Processing: Quickly analyzes images, even in large volumes.
  • Integration-Friendly API: Easily integrates with existing platforms and workflows.
  • Comprehensive Reporting: Provides detailed reports on moderations for transparency and monitoring.

How to use Image Moderation ?

  1. Prepare Your Images: Ensure the images are in a compatible format and accessible for analysis.
  2. Integrate the API: Use the provided API to send images to the moderation system.
  3. Set Custom Filters: Define specific rules or categories for moderation (e.g., violence, nudity, spam).
  4. Receive Results: Analyze the API response to determine if the image meets safety standards.
  5. Take Action: Use the results to decide whether to block, approve, or flag the image for review.
  6. Monitor and Improve: Continuously review moderations and update filters as needed.

Frequently Asked Questions

1. What types of unsafe content can Image Moderation detect?
Image Moderation can detect a wide range of unsafe content, including but not limited to nudity, violence, hate symbols, and explicit material.

2. Can I customize the moderation criteria?
Yes, Image Moderation allows users to customize filters based on their specific needs or platform policies.

3. How accurate is the moderation system?
The system uses advanced AI models to achieve high accuracy, but it is not perfect. Human review is recommended for critical cases to ensure completeness.

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