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Transformers.js is a JavaScript library designed for object detection tasks. It leverages transformer-based models to identify and locate objects within images. Built for browser-based applications, it simplifies the integration of state-of-the-art object detection capabilities into web projects. With Transformers.js, developers can easily implement real-time object detection using pre-trained models or custom-trained models.
• Pre-trained Models: Access to popular object detection models like YOLO, Faster R-CNN, and DETR for out-of-the-box functionality.
• Real-Time Processing: Optimized for fast inference, enabling real-time object detection in web applications.
• Browser Compatibility: Works seamlessly with modern browsers, ensuring wide accessibility.
• Customizable: Allows users to train and deploy their own models for specific use cases.
• Easy Integration: Simple API for quick implementation into existing projects.
npm install transformers.js
.import Transformers from 'transformers.js';
.const model = await Transformers.load('yolo');
const results = await model.detect(imageElement);
What browsers are supported by Transformers.js?
Transformers.js is compatible with modern browsers that support WebGL and ES6 features. This includes Chrome, Firefox, Safari, and Edge.
How accurate is Transformers.js?
Accuracy depends on the model used. Pre-trained models like YOLO and DETR provide high accuracy for common objects, but custom models may need fine-tuning for specific tasks.
Do I need to train my own model?
No, Transformers.js comes with pre-trained models for common object detection tasks. However, you can train your own model for specialized use cases using supported frameworks.