Image Moderation Workflow: Detect Explicit Content and Text in Images

In today's digital world, every content platform, be it social or business-related, aims to, and must provide a safe and brand-friendly environment. This ability to automatically remove all inappropriate or harmful images and text is what differentiates social media, e-commerce, or user-generated content sites from one another. With user-generated content and sites on the rise, there is a greater need for new-generation tools that can moderate content quickly while maintaining platform integrity. This is where Image Moderation Workflow comes into play.

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What is Image Moderation?

Image Moderation takes advantage of AI-driven tools to detect and filter explicit, NSFW, or harmful content from digital platforms. An image moderation API allows developers to integrate automated review, analysis, and classification of images based on predefined criteria, such as detecting explicit content, violence, hate symbols, or other undesirable material.

Popular Image Moderation APIs include Google Cloud Vision API, Microsoft Azure, Amazon Rekognition, Clarifai, and more.

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The Challenges of Image Moderation: Accuracy, Trust, and Safety

Effective content moderation involves addressing several challenges to ensure accurate and safe filtering of content. Key concerns include:

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Key Moderation Concerns:

1. Content Accuracy and Integrity: One key challenge is to ensure that the AI models identify and filter out inappropriate content accurately without accidentally blocking good or benign content. This step is crucial to prevent over-blocking or under-blocking content, either of which could affect the results and thereby directly the user experience and platform credibility.
2. Lack of Integrated Text Moderation: Even though Image Moderation tools are efficient in filtering our visual content, they cannot filter out harmful or inappropriate text embedded within images. This would result in any offensive content, such as hate speech, foul language, or inappropriate messages, making its way through visual-based filters. Good moderation must have a joint effort that combines the analysis of both images and text to do a proper job of safekeeping platforms and their users.
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User/Customer Concerns:

1. False Positives and Negatives: There might be cases where non-explicit content is wrongly marked as explicit or explicit content slips through the filters. Achieving a balance between sensitivity to not contributing towards false positives and negatives is an important part of automated content moderation.
2. Customization and Flexibility: Different platforms have varying policies and risk tolerances. The ability to customize sensitivity levels and moderation criteria to fit specific needs is essential for effective content management.
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To overcome these challenges, implementing a well-designed image moderation workflow with customizable sensitivity levels is crucial. This approach allows content to be moderated without sacrificing the quality of the resource, and while meeting platform standards and user expectations.
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Image Moderation Use Cases

• Compliance Management for Operations Teams: Ensure adherence to regulatory standards and platform policies by automating the detection and removal of non-compliant content. Eden AI's Image Moderation Workflow helps maintain legal and ethical guidelines while safeguarding platform reputation and user trust.
• Social Media Platforms: Automatically filter and remove explicit photos, videos, and comments to maintain a family-friendly environment.
• E-Commerce Marketplaces: Detect and block listings with copyrighted images or inappropriate content, reducing the risk of trademark infringement and maintaining marketplace integrity.
• User-Generated Content Platforms: Enables the sharing of user content without hindrance while blocking explicit, illegal, or offensive material to ensure a safe user experience.
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The Solution: Eden AI's Image Moderation Workflow

Eden AI’s Image Moderation Workflow template offers a comprehensive solution for automated content moderation by integrating image moderation and text moderation in a single workflow and addresses the key challenges without compromising on content integrity, and user safety.

This workflow utilizes advanced AI models to detect and filter out explicit and harmful content, ensuring that only safe and compliant material is presented on your platform.

This complete workflow streamlines the content moderation process, automating most decisions while allowing for human oversight in complex cases. Customizable sensitivity settings help ensure that the moderation aligns with your platform’s policies and risk tolerances, providing effective and precise content moderation.

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The Image Moderation Workflow is a single-stop solution for the entire content moderation process. The feature detects and filters out explicit and harmful content by using advanced AI models to ensure that users' platforms display only safe and compliant material.

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Node 1: Explicit Content API

‍This node is responsible for checking the input image for explicit content. The system analyzes the image to determine if it contains any adult, violent, or otherwise inappropriate content. Using AI models like OpenAI, Google Cloud, Microsoft, AWS, Clarifai, SentiSight, and PicPurify, Explicit Content ensures robust and accurate filtering of inappropriate material.‍

Node 2: Optical Character Recognition (OCR) API‍

After checking for explicit content, the image goes through an OCR process.

Using providers like Google Cloud, Microsoft, AWS, Clarifai, SentiSight, and Api4ai, Optical Character Recognition API extracts any text present in the image. The extracted text will be used in the following steps for further moderation, especially focusing on the content of the text.

If / Else

‍Based on the output of the OCR process, the workflow checks a condition (likely based on whether certain keywords or patterns are found in the text). If the condition is met (e.g., the text is potentially inappropriate or violates guidelines), the workflow follows the "True" path. False Path: If the condition is not met (e.g., the text is deemed safe), the workflow follows the "False" path.

Node 3: Text Moderation API

‍If the condition in the "If / Else" node is true, this node performs additional moderation on the extracted text. This API, provided by Microsoft, OpenAI, Google Cloud, and Clarifai, is used to moderate user-generated content using advanced natural language processing, which allows developers to check for offensive language, spam, hate speech, or other violation.
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Access Eden AI's Image Moderation Workflow Template

Eden AI's Workflow Builder is a fully automated, customizable platform that helps businesses and individuals create AI workflows from scratch or with the help of pre-built templates. Here’s how to get started:

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‍1. Create an Account

Start by signing up for a free account on Eden AI.

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‍2. Access the AI Image Moderation Template

Access the pre-built Image Moderation Workflow template directly by clicking here. Save the file to begin customizing it.

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‍3. Customize the Workflow

Open the template and adjust the parameters to suit your needs. This includes selecting providers and fallback providers optimizing inputs and outputs, setting evaluation criteria, and other specific configurations.

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‍4. Integrate with API

Use Eden AI’s API to integrate the customized workflow into your application. Launch workflow executions and retrieve results programmatically to fit within your existing systems.

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5. Collaborate and Share

Utilize the collaboration feature to share your workflow with others. You can manage permissions, allowing team members to view or edit the workflow as needed.

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Embracing AI-Driven Image Moderation

Since digital platforms are expanding and evolving at a fast pace, automated image moderation has become significant. Good content moderation is more than just filtering; it's a calculated, multifaceted process that strikes a balance between safety, accuracy, and trustworthiness while also honoring user privacy and ethical principles. This is where Eden AI's Image Moderation Workflow shines, providing a complete end-to-end solution for content moderation using powerful AI models that are well-suited for easy customizability and automating the ever-changing needs of content moderation across platforms from different industries.

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