Identify objects in images
Generic YOLO Models Trained on COCO
Upload an image to detect objects
Detect objects in images using YOLOv5
Identify and label objects in images
Detect objects in uploaded images
Upload images/videos to detect wildfires and smoke
Identify jaguars in images
Perform small object detection in images
Detect objects in an image
Identify objects in real-time video feed
Identify segments in an image using a Detectron2 model
State-of-the-art Object Detection YOLOV9 Demo
Transformers.js is a JavaScript library designed for object detection tasks. It enables developers to identify and locate objects within images efficiently. Built on top of modern deep learning frameworks, Transformers.js leverages pre-trained models to deliver accurate results.
• Object Detection: Identify and classify objects within images. • Model Integration: Supports integration with popular pre-trained models for object detection. • Real-Time Processing: Optimized for fast inference, suitable for real-time applications. • Multiple Object Support: Detects and labels multiple objects in a single image. • Customizable: Allows fine-tuning of models for specific use cases. • Cross-Browser Compatibility: Works seamlessly across modern web browsers.
Install the library: Use npm to install the package.
npm install transformers.js
Import the library: Include it in your JavaScript file.
import { Transformer } from 'transformers.js';
Load a pre-trained model: Instantiate the model for object detection.
const model = new Transformer({
model: 'object-detection',
version: '1.0',
});
Load an image: Pass the image element to the model.
const image = document.getElementById('image');
model.loadImage(image);
Detect objects: Run the detection and get results.
model.detect().then(results => {
// Process detection results
results.forEach(result => {
console.log(`Detected ${result.label} at position ${result.position}`);
});
});
1. What browsers are supported by Transformers.js?
Transformers.js is designed to work with modern web browsers, including Chrome, Firefox, Safari, and Edge.
2. How accurate is Transformers.js for object detection?
The accuracy depends on the pre-trained model used. By default, Transformers.js uses high-performing models that achieve state-of-the-art results on standard object detection benchmarks.
3. Can Transformers.js be used for real-time object detection?
Yes, Transformers.js is optimized for real-time processing, making it suitable for applications that require fast and responsive object detection.
4. How does Transformers.js compare to server-side solutions?
Transformers.js runs entirely in the browser, eliminating the need for server-side processing. This reduces latency and enables real-time applications, though it may have performance limitations for very large images or complex models.