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Detect harmful or offensive content in images
Transformers.js

Transformers.js

Detect objects in an image

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What is Transformers.js ?

Transformers.js is a JavaScript library designed to detect harmful or offensive content in images. It leverages advanced AI models to analyze images and identify potentially problematic content, making it a valuable tool for moderating and filtering visual media.

Features

• Object Detection: Identify objects within images to detect harmful or offensive content. • Real-Time Processing: Process images quickly for immediate content moderation. • High Accuracy: Utilizes state-of-the-art models for precise detection. • Customizable Thresholds: Adjust sensitivity to suit specific needs. • Support for Multiple Formats: Works with various image formats like JPEG, PNG, and GIF. • Easy Integration: Simple API for seamless integration into web applications. • Offline Capabilities: Can function offline for privacy and efficiency.

How to use Transformers.js ?

  1. Install Transformers.js via npm:
    npm install transformers.js
    
  2. Import the library in your JavaScript project:
    const Transformers = require('transformers.js');
    
  3. Initialize the model with default settings:
    const detector = new Transformers.Detector();
    
  4. Load an image for analysis:
    const img = new Image();
    img.src = 'path/to/your/image.jpg';
    
  5. Run detection on the loaded image:
    detector.detect(img).then(result => {
      // Handle results
    });
    
  6. Use results to determine if content is harmful or offensive:
    if (result.score > 0.5) {
      console.log('Potentially harmful content detected');
    }
    

Frequently Asked Questions

What image formats are supported?
Transformers.js supports most common image formats, including JPEG, PNG, GIF, and more.

Can I customize detection thresholds?
Yes, you can adjust sensitivity by setting custom thresholds to suit your moderation needs.

How accurate is the detection?
Transformers.js uses advanced AI models, providing high accuracy for detecting harmful content, though results may vary based on image quality and complexity.

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