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Detect harmful or offensive content in images
Transformers.js

Transformers.js

Detect objects in images

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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 identify and flag inappropriate content, making it a powerful tool for maintaining safety and compliance in web applications. Built with modern JavaScript, Transformers.js is lightweight and easily integrates with various web frameworks.

Features

• Object Detection in Images: Identify specific objects within images with high accuracy.
• Harmful Content Detection: Automatically detect and flag harmful or offensive content.
• Customizable Thresholds: Adjust detection sensitivity based on your needs.
• Support for Popular Frameworks: Seamlessly integrates with React, Angular, and Vue.js.
• High Performance: Optimized for fast processing and minimal impact on user experience.
• Easy Integration: Simple API for quick setup and implementation.
• Cross-Browser Compatibility: Works across major browsers, including Chrome, Firefox, and Safari.

How to use Transformers.js ?

  1. Include the Library: Add Transformers.js to your project via npm or CDN.
  2. Import the Module: Import the library in your JavaScript file.
  3. Initialize the Detector: Create an instance of the detector with your API key.
  4. Load an Image: Pass the image URL or file to the detector.
  5. Run Detection: Execute the detection method and handle the response.
  6. Process Results: Use the returned data to take appropriate actions (e.g., flagging content).

Frequently Asked Questions

What browsers does Transformers.js support?
Transformers.js is compatible with modern browsers, including Chrome, Firefox, Safari, and Edge.

Can I customize the detection thresholds?
Yes, Transformers.js allows you to adjust the sensitivity of content detection to suit your specific requirements.

Where is the image processing done?
Image processing is handled client-side to ensure privacy and reduce server load, though some metadata may be sent to the cloud for analysis.

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