Detect objects in images using 🤗 Transformers.js
Upload images/videos to detect wildfires and smoke
State-of-the-art Zero-shot Object Detection
Detect objects in your images
Upload an image to detect objects
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Find objects in images using text descriptions
Perform small object detection in images
Count objects in an image by drawing a region of interest
Identify objects in an image with bounding boxes
Upload image to detect objects
Detect potholes in images and videos
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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.