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
Transformers.js

Transformers.js

Identify objects in images

You May Also Like

View All
🐨

Object Detection Vue

Detect objects in random images

3
🚀

Webrtc Yolov10n

Stream webcam video and detect objects in real-time

13
😻

Object Detection

Identify and label objects in images using YOLO models

9
🌐

Transformers.js

Detect objects in images

0
🌐

Transformers.js

Upload an image to detect objects

0
🦀

YOLOv8 Space

Ultralytics YOLOv8 Gradio Application for Testing 🚀

3
🌐

Transformers.js

Upload an image to detect objects

0
🌐

Transformers.js

Detect objects in images using 🤗 Transformers.js

0
📚

DETR Object Detection

Identify objects in images

13
🐠

Vanilla Js Object Detector

Detect objects in an uploaded image

0
🤗

Owl-Vit Streamlit App

Find objects in images using text descriptions

3
🔥

Saira Traffiic Project

Detect traffic signs in images

1

What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. It enables developers to identify and locate objects within images efficiently. Built on top of modern deep learning frameworks, Transformers.js leverages pre-trained models to deliver accurate results.

Features

• Object Detection: Identify and classify objects within images. • Model Integration: Supports integration with popular pre-trained models for object detection. • Real-Time Processing: Optimized for fast inference, suitable for real-time applications. • Multiple Object Support: Detects and labels multiple objects in a single image. • Customizable: Allows fine-tuning of models for specific use cases. • Cross-Browser Compatibility: Works seamlessly across modern web browsers.

How to use Transformers.js ?

  1. Install the library: Use npm to install the package.

    npm install transformers.js
    
  2. Import the library: Include it in your JavaScript file.

    import { Transformer } from 'transformers.js';
    
  3. Load a pre-trained model: Instantiate the model for object detection.

    const model = new Transformer({
      model: 'object-detection',
      version: '1.0',
    });
    
  4. Load an image: Pass the image element to the model.

    const image = document.getElementById('image');
    model.loadImage(image);
    
  5. Detect objects: Run the detection and get results.

    model.detect().then(results => {
      // Process detection results
      results.forEach(result => {
        console.log(`Detected ${result.label} at position ${result.position}`);
      });
    });
    

Frequently Asked Questions

1. What browsers are supported by Transformers.js?
Transformers.js is designed to work with modern web browsers, including Chrome, Firefox, Safari, and Edge.

2. How accurate is Transformers.js for object detection?
The accuracy depends on the pre-trained model used. By default, Transformers.js uses high-performing models that achieve state-of-the-art results on standard object detection benchmarks.

3. Can Transformers.js be used for real-time object detection?
Yes, Transformers.js is optimized for real-time processing, making it suitable for applications that require fast and responsive object detection.

4. How does Transformers.js compare to server-side solutions?
Transformers.js runs entirely in the browser, eliminating the need for server-side processing. This reduces latency and enables real-time applications, though it may have performance limitations for very large images or complex models.

Recommended Category

View All
🎥

Convert a portrait into a talking video

🎎

Create an anime version of me

🖌️

Image Editing

🕺

Pose Estimation

🌐

Translate a language in real-time

🤖

Chatbots

🎭

Character Animation

🗂️

Dataset Creation

😀

Create a custom emoji

💻

Generate an application

👗

Try on virtual clothes

✍️

Text Generation

✨

Restore an old photo

🤖

Create a customer service chatbot

🔤

OCR