Transformers.js

What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. It allows developers to identify objects in images and classify them using predefined labels. Built on top of TensorFlow.js, it leverages machine learning models to provide accurate and efficient detection capabilities directly in the browser.

Features

• Real-time object detection: Quickly identify objects in images or video streams.
• Pre-trained models: Access to popular models like BlazeFace and SSD MobileNet for out-of-the-box functionality.
• Customizable models: Configure models to suit specific use cases or datasets.
• Browser compatibility: Runs seamlessly in modern web browsers without additional plugins.
• Lightweight: Optimized for performance and minimal payload size.
• Hardware acceleration: Leverages WebGL and WebAssembly for faster computations.
• Easy integration: Simple API for developers to implement object detection with minimal code.

How to use Transformers.js ?

1. Include the library: Add Transformers.js to your project via CDN or npm.
2. Load a pre-trained model: Use the provided API to load a pre-trained model (e.g., BlazeFace).
3. Prepare an image: Ensure the image is properly formatted for the model.
4. Run detection: Pass the image to the model and retrieve predictions.
5. Process results: Use the returned bounding boxes and labels to display or analyze the detections.

// Example usage
const model = await blazeface.load();
const predictions = await model.estimateFaces(document.querySelector('img'));

Frequently Asked Questions

What models are supported by Transformers.js?
Transformers.js supports popular models like BlazeFace for face detection and SSD MobileNet for general object detection. More models can be added by extending the library.

Can I use Transformers.js for real-time video analysis?
Yes! Transformers.js is optimized for real-time video streams. Use it with video elements or Webcams for live object detection.

How do I improve detection accuracy?
For better accuracy, ensure images are clear and well-lit. You can also fine-tune pre-trained models with custom datasets using TensorFlow.js.