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Object Detection
Transformers.js

Transformers.js

Upload an image to detect objects

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What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. It allows developers to easily integrate transformer-based models into their web applications to detect objects within images. The library simplifies the process of uploading images and receiving detection results, making it a powerful tool for building AI-driven applications.

Features

• Transformer Model Support: Utilizes state-of-the-art transformer models for accurate object detection.
• Real-Time Detection: Enables real-time object detection in images.
• Image Upload Capability: Supports image uploads for processing.
• Multiple Object Detection: Detects and identifies multiple objects within a single image.
• Customizable Thresholds: Allows users to set confidence thresholds for detections.
• Web Framework Integration: Designed to work seamlessly with popular web frameworks.

How to use Transformers.js ?

  1. Install the library using npm:
    npm install transformers.js
    
  2. Import the library in your JavaScript file:
    import Transform from 'transformers.js';
    
  3. Initialize the transformer model:
    const transformer = new Transform({ model: 'detr-resnet-50' });
    
  4. Load an image for detection:
    const image = new Image();
    image.src = 'path/to/your/image.jpg';
    
  5. Perform object detection:
    transformer.detect(image).then(results => {
      console.log(results);
    });
    

Frequently Asked Questions

What models does Transformers.js support?
Transformers.js supports a variety of transformer-based models, including DETR, Deformable DETR, and others. For a full list, refer to the official documentation.

Can I customize the detection thresholds?
Yes, you can set custom confidence thresholds during model initialization to filter detection results based on your requirements.

Where can I find more documentation or support?
Visit the official Transformers.js repository or community forums for detailed documentation, examples, and troubleshooting guides.

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