Identify objects in images
Detect objects in an uploaded image
Detect forklifts in images
Generic YOLO Models Trained on COCO
Detect objects in images
Detect objects in images and return coordinates
Detect objects in images using a web app
Find objects in your images
Ultralytics YOLOv8 Gradio Application for Testing 🚀
Detect objects in images and get bounding boxes
Upload an image to detect and classify objects
Find and highlight characters in images
State-of-the-art Object Detection YOLOV9 Demo
Hello Huggingface.js is a JavaScript library designed for object detection tasks. It leverages the power of Hugging Face's ecosystem to provide an easy-to-use interface for identifying objects within images. Built with simplicity and integration in mind, it allows developers to quickly implement object detection capabilities into their web-based applications.
• Real-time Object Detection: Quickly identify objects in images or video streams.
• Support for Multiple Models: Leverage pre-trained models from the Hugging Face Model Hub.
• Simple API: Intuitive and user-friendly interface for seamless integration.
• Integration with Hugging Face Hub: Easily access and utilize models directly from the hub.
• Lightweight and Efficient: Optimized for performance in web environments.
• Cross-Browser Compatibility: Works across modern web browsers.
• Open Source: Free to use, modify, and distribute.
npm install hello-huggingface.js
<script src="https://cdn.jsdelivr.net/npm/hello-huggingface.js@latest/dist/index.min.js"></script>
import { ObjectDetector } from 'hello-huggingface.js';
const detector = new ObjectDetector();
detector.loadModel('model-name').then(() => {
console.log('Model loaded successfully');
});
detector.detectObjects(imageElement).then(results => {
console.log('Detected objects:', results);
});
1. What browsers are supported by Hello Huggingface.js?
Hello Huggingface.js is designed to work with most modern web browsers, including Chrome, Firefox, Safari, and Edge.
2. Can I use custom models with Hello Huggingface.js?
Yes, you can use custom models hosted on the Hugging Face Model Hub. Simply specify the model name or URL when initializing the detector.
3. Is Hello Huggingface.js suitable for real-time object detection?
Yes, it is optimized for real-time object detection. However, the frame rate and accuracy may vary depending on your system's hardware and the complexity of the model used.