Detect objects in images using 🤗 Transformers.js
Identify objects in images
Identify segments in an image using a Detectron2 model
Detect objects in images and highlight them
Detect objects in images and videos
Find objects in images and get details
Detect face masks in images
Identify objects in real-time video feed
Detect objects in images using YOLOv5
Identify objects in images and return details
Find and label objects in images
State-of-the-art Object Detection YOLOV9 Demo
Detect and measure areas of objects in images
Transformers.js is a JavaScript library designed for object detection tasks. It leverages the power of Hugging Face's Transformers library to enable developers to easily implement object detection models in web applications. With Transformers.js, you can seamlessly integrate pre-trained models like YOLO, Faster R-CNN, and more into your projects.
npm install transformers.js
import { Transformers } from 'transformers.js';
const model = await Transformers.load('facebook/w------
const predictions = await model.detect(image);
predictions.forEach(prediction => {
console.log(prediction.label, prediction.box);
});
What models are supported by Transformers.js?
Transformers.js supports various pre-trained object detection models such as YOLO, Faster R-CNN, and RetinaNet from the Hugging Face Model Hub.
Can I use Transformers.js with any image format?
Yes, Transformers.js supports multiple image formats including JPEG, PNG, and WebP.
How do I optimize performance for real-time detection?
For real-time detection, use lightweight models like YOLOv3 or YOLOv5, and ensure your hardware has a dedicated GPU for faster inference.