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Detect objects in an image
Transformers.js

Transformers.js

Detect objects in images

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What is Transformers.js ?

Transformers.js is a JavaScript library specifically designed for detecting objects in images. It leverages advanced AI models to enable object detection capabilities in web applications, allowing developers to integrate this functionality seamlessly into their projects.

Features

  • Object Detection: Identify and locate objects within images using pre-trained models.
  • Customizable: Choose from various model architectures to suit specific use cases.
  • Easy Integration: Designed to work with modern JavaScript frameworks and libraries.
  • Lightweight: Optimized for performance in web environments.
  • Flexible Configuration: Adjust settings such as model accuracy, speed, and detection thresholds.

How to use Transformers.js ?

  1. Install the library: Use npm to install the package.
    npm install transformers.js
    
  2. Import the library: Include it in your JavaScript file.
    const Transformers = require('transformers.js');
    
  3. Load a model: Initialize the object detection model.
    const detector = new Transformers.Detector();
    
  4. Detect objects: Pass an image URL or canvas element to the detector.
    detector.detect('path/to/image.jpg')
        .then(results => console.log(results));
    

Frequently Asked Questions

What browsers are supported by Transformers.js?
Transformers.js is designed to work with modern browsers that support TypeScript and ES6 modules. For older browsers, additional polyfills may be required.

Can I use Transformers.js for real-time object detection?
Yes, Transformers.js can be used for real-time object detection, though performance may vary depending on the model size and device capabilities. For real-time applications, consider using a lightweight model.

How do I improve detection accuracy?
To improve detection accuracy, use higher-resolution images and select models with higher accuracy settings. Experiment with different models and configurations to find the best balance for your use case.

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