Detect objects in images
Detect objects in images and return details
Detect objects in your images
Identify objects in images and return details
Run object detection on videos
Detect objects in images
Upload image to detect objects
Identify objects and poses in images
Perform small object detection in images
Upload image to detect objects
Detect objects in images and videos using YOLOv5
Find and highlight trash in images
Find and highlight characters 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.