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State-of-the-art Zero-shot Object Detection
Transformers.js is a powerful JavaScript library designed for object detection in images. It leverages transformer-based architectures to enable real-time detection and analysis of objects within visual data. The library is optimized for browser-based applications, making it accessible for web developers to integrate advanced computer vision capabilities into their projects.
• Real-time Object Detection:Process images and detect objects in real-time with high accuracy.
• Transformer-based Models:Uses state-of-the-art transformer models optimized for object detection tasks.
• Browser Integration:Fully compatible with modern web browsers for seamless integration.
• Simple API:An intuitive interface for loading models, processing images, and retrieving detection results.
• Multi-model Support:Supports various pre-trained models for flexibility in different use cases.
• Customizable:Easily customize detection parameters to suit specific requirements.
npm install transformers.js
import Transformers from 'transformers.js';
const model = await Transformers.loadModel('object-detection');
const detections = await model.detectObjects(imageElement);
What models are supported by Transformers.js?
Transformers.js supports a variety of pre-trained transformer models, including popular architectures like DETR and YOLOS. You can choose the model that best fits your use case.
Can Transformers.js work with video streams?
Yes! Transformers.js can process live video streams in real-time, enabling object detection in dynamic content.
How accurate is Transformers.js?
The accuracy of Transformers.js depends on the underlying model used. However, transformer-based models are highly accurate and often achieve state-of-the-art results in object detection tasks.