Upload an image to detect objects
Find and highlight characters in images
Identify objects and poses in images
Analyze images for object recognition
Detect gestures in images and video
Identify and label objects in images using YOLO models
Detect marine vessels in images
Detect objects in images and return coordinates
Analyze images and videos to detect objects
Identify objects in images and return details
Identify objects in your images using labels
Detect objects in images and get bounding boxes
Detect objects in images and get details
Transformers.js is a powerful JavaScript library designed for object detection tasks. It enables developers to easily integrate real-time object detection into web applications by leveraging modern AI and machine learning frameworks. The library simplifies the process of detecting objects within images, making it accessible for both beginners and advanced users.
npm install transformers.js
import Transformers from 'transformers.js';
const detector = new Transformers.Detector('yolo');
const image = new Image();
image.src = 'path/to/your/image.jpg';
detector.detect(image).then(results => {
// Process the results
});
results.forEach(item => {
console.log(`Detected ${item.label} with ${item.confidence.toFixed(2)} confidence`);
});
What browsers are supported by Transformers.js?
Transformers.js is designed to work with modern browsers that support HTML5 and ES6 features. It is tested on Chrome, Firefox, and Edge.
How can I improve the performance of Transformers.js?
To optimize performance, ensure you're using a modern GPU, reduce the image size, or use a lighter model architecture.
Can I use custom models with Transformers.js?
Yes, Transformers.js allows you to use custom models. You can load a model using a TensorFlow.js or ONNX.js format and pass it to the detector.