Detect objects in images using 🤗 Transformers.js
Detect objects in images and get bounding boxes
Draw a box to detect objects
Identify objects in images with Transformers.js
Detect objects in images and videos
Identify objects in images
Generic YOLO Models Trained on COCO
Identify segments in an image using a Detectron2 model
Identify objects in images using URLs or uploads
Detect objects in images
State-of-the-art Zero-shot Object Detection
Detect objects in an image
Identify objects in an image
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.