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Object Detection
Transformers.js

Transformers.js

Detect objects in images

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Transformers.js

Detect objects in images using 🤗 Transformers.js

0

What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. It enables developers to integrate image analysis and object detection capabilities into web applications seamlessly. Built with modern JavaScript standards, Transformers.js provides an efficient and intuitive way to detect objects within images by leveraging state-of-the-art AI models.

Features

  • Multiple Model Support: Compatible with popular transformer-based models for object detection.
  • Real-Time Detection: Perform object detection in real-time with optimized performance.
  • Easy Integration: Simple API for seamless integration into web applications.
  • Cross-Browser Compatibility: Works across modern browsers with minimal setup.
  • Customizable: Allows developers to fine-tune detection parameters for specific use cases.

How to use Transformers.js ?

  1. Install the Library: Run npm install transformers.js or include the CDN link in your HTML.
  2. Import the Library: Add import Transformers from 'transformers.js'; in your JavaScript file.
  3. Initialize Detector: Create a new detector instance using const detector = new Transformers.Detector();.
  4. Load Image: Input an image file or URL for detection.
  5. Perform Detection: Call detector.detectObjects(image) to analyze and detect objects.
  6. Handle Results: Use the returned predictions to display bounding boxes or labels.

Frequently Asked Questions

What models are supported by Transformers.js?
Transformers.js supports popular object detection models like YOLO, SSD, and Faster R-CNN, optimized for JavaScript environments.

How do I handle large images?
For large images, use the imageResize option to downsize the image before detection, improving performance while maintaining accuracy.

Can I use Transformers.js in production?
Yes, Transformers.js is designed for production use. Ensure proper error handling and model optimization for best results.

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