Detect objects in images
Detect objects in images and return details
Detect objects in an uploaded image
Identify objects in real-time video feed
Detect objects in an image
State-of-the-art Zero-shot Object Detection
Analyze images for object recognition
Identify objects in images with high accuracy
Identify objects in images with Transformers.js
Upload an image to detect and classify objects
Detect traffic signs in uploaded images
Identify objects in an image with bounding boxes
Detect and segment objects in images
Transformers.js is a JavaScript library designed for object detection tasks. Built on top of TensorFlow.js, it provides an efficient way to detect objects within images. The library leverages transformer-based architectures to deliver high accuracy and flexibility for various object detection use cases.
npm install transformers.js
import { TransformerDetector } from 'transformers.js';
const detector = new TransformerDetector('model_name');
const image = document.getElementById('image');
const predictions = await detector.detect(image);
predictions.forEach(prediction => {
console.log(`Detected ${prediction.label} at ${prediction.bbox}`);
});
What models are supported by Transformers.js?
Transformers.js supports popular object detection models like DETR, Deformable DETR, and YOLOS.
Can Transformers.js run on mobile browsers?
Yes, Transformers.js is optimized for mobile browsers and supports TensorFlow.js's mobile-friendly backend.
How accurate is Transformers.js compared to other libraries?
Transformers.js leverages state-of-the-art transformer architectures, often outperforming traditional CNN-based detectors in accuracy.