AIDir.app
  • Hot AI Tools
  • New AI Tools
  • AI Tools Category
AIDir.app
AIDir.app

Save this website for future use! Free to use, no login required.

About

  • Blog

© 2025 • AIDir.app All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Object Detection
Hello Huggingface.js

Hello Huggingface.js

Identify objects in images

You May Also Like

View All
🏢

Mot

Run object detection on videos

1
🌐

Transformers.js

Detect objects in images

0
👁

Yolo11

Detect objects in images and videos

61
🐠

DETA

Identify objects in your image

12
🦖

GroundingDINO ⚔ OWL

Identify objects in images using text queries

45
🌐

Transformers.js

Detect objects in your images

0
🌐

Transformers.js

Identify objects in images with Transformers.js

0
👀

YoloGesture

Detect gestures in images and video

3
🚌

Car Damage Detection

Identify car damage in images

3
🌐

Transformers.js

Upload images to detect objects

0
📊

Yolov5_anime

Detect objects in anime images

13
📉

CBNetV2

Detect objects in images

5

What is Hello Huggingface.js ?

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.

Features

• 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.

How to use Hello Huggingface.js ?

  1. Install the Library: Use npm to install the package in your project.
    npm install hello-huggingface.js
    
  2. Include the Script: Add the library to your HTML file.
    <script src="https://cdn.jsdelivr.net/npm/hello-huggingface.js@latest/dist/index.min.js"></script>
    
  3. Import and Initialize: Import the library in your JavaScript file and initialize the detector.
    import { ObjectDetector } from 'hello-huggingface.js';
    const detector = new ObjectDetector();
    
  4. Load a Model: Specify the model you want to use from the Hugging Face Model Hub.
    detector.loadModel('model-name').then(() => {
      console.log('Model loaded successfully');
    });
    
  5. Detect Objects: Feed an image or video element to the detector.
    detector.detectObjects(imageElement).then(results => {
      console.log('Detected objects:', results);
    });
    

Frequently Asked Questions

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.

Recommended Category

View All
↔️

Extend images automatically

🖌️

Image Editing

✂️

Remove background from a picture

🕺

Pose Estimation

📋

Text Summarization

📊

Convert CSV data into insights

✂️

Background Removal

🎮

Game AI

🗒️

Automate meeting notes summaries

🎧

Enhance audio quality

🗣️

Voice Cloning

✍️

Text Generation

🤖

Create a customer service chatbot

📐

Generate a 3D model from an image

🖼️

Image Captioning