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 an image

You May Also Like

View All
📊

Yolov5_anime

Detect objects in anime images

13
🏆

Yolov5g

Find and label objects in images

1
🐠

DETA

Identify objects in your image

12
🌐

Transformers.js

Upload an image to detect objects

0
🌐

Transformers.js

Detect objects in uploaded images

0
🦀

Yolo Traffic

Detect traffic signs in uploaded images

0
🌐

Transformers.js

Detect objects in images

1
👁

Yolo11

Detect objects in images and videos

61
😻

Object Detection

Identify and label objects in images using YOLO models

9
👀

JaguarID Pantanal

Identify jaguars in images

0
🎮

Forklift Object Detection

Detect forklifts in images

4
🌐

Transformers.js

Detect objects in images

0

What is Transformers.js ?

Transformers.js is a JavaScript library designed for object detection tasks. Built on top of the popular Transformers library by Hugging Face, it allows developers to integrate state-of-the-art models into web applications. The library simplifies the process of loading models, preprocessing inputs, and making predictions directly in the browser. Transformers.js is ideal for identifying and classifying objects within images efficiently.

Features

• Model Loading: Easily load pre-trained models from the Hugging Face Model Hub.
• Inference in Browser: Run object detection models directly in the browser without backend setup.
• Integration: Works seamlessly with TensorFlow.js and other popular frontend libraries.
• Extensible: Customize workflows with built-in hooks for preprocessing, postprocessing, and data augmentation.
• Browser Support: Compatible with modern browsers, enabling deployment across various platforms.

How to use Transformers.js ?

  1. Install the Library: Use npm to install Transformers.js in your project:
    npm install @huggingface/transformers  
    
  2. Import and Load Model: Import the library and load a pre-trained model:
    const { AutoFeatureExtractor, AutoModel } = require('@huggingface/transformers');  
    const model = await AutoModel.load('facebook-detr-resnet-50');  
    const featureExtractor = await AutoFeatureExtractor.load('facebook-detr-resnet-50');  
    
  3. Preprocess Image: Convert your image input using the feature extractor:
    const inputs = await featureExtractor.close(true);  
    
  4. Run Inference: Apply the model to generate predictions:
    const outputs = model.predict(inputs);  
    
  5. Handle Results: Extract bounding boxes, class labels, and confidence scores from the outputs:
    const result = await outputs.print();  
    console.log(result);  
    

Frequently Asked Questions

What is Transformers.js used for?
Transformers.js is primarily used for object detection tasks, enabling developers to identify objects within images using pre-trained models.

Do I need machine learning expertise to use Transformers.js?
No, Transformers.js simplifies the integration of models, making it accessible even for developers without extensive machine learning expertise.

Which models are supported by Transformers.js?
Transformers.js supports a wide range of pre-trained models from the Hugging Face Model Hub, including popular architectures like DETR and Faster R-CNN.

Recommended Category

View All
🎙️

Transcribe podcast audio to text

💻

Code Generation

✍️

Text Generation

📐

3D Modeling

🎬

Video Generation

🌜

Transform a daytime scene into a night scene

🌈

Colorize black and white photos

🎥

Convert a portrait into a talking video

🔧

Fine Tuning Tools

💬

Add subtitles to a video

💹

Financial Analysis

🤖

Create a customer service chatbot

🗣️

Generate speech from text in multiple languages

📈

Predict stock market trends

🎭

Character Animation