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
👁

Detectron2 Model Demo

Identify segments in an image using a Detectron2 model

4
💻

Bird Forest Classifier

Identify the top 3 objects in an image

0
🌍

Roboflow

Identify objects using your webcam

6
📚

DETR Object Detection

Identify objects in images

13
😻

Object Detection

Identify and label objects in images using YOLO models

9
🌐

Transformers.js

Upload an image to detect objects

0
🚀

Small Object Detection with YOLOX

Perform small object detection in images

27
🌐

Transformers.js

Identify objects in images with Transformers.js

0
🌍

Yolos

Generic YOLO Models Trained on COCO

1
🏆

Yolov5g

Detect objects in images using YOLOv5

0
📈

Anime Object Detection

Detect objects in anime images

31
🏢

Holycanolies123 Yoloswag

Find 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
📄

Extract text from scanned documents

🔍

Detect objects in an image

🎤

Generate song lyrics

🌍

Language Translation

🧑‍💻

Create a 3D avatar

⭐

Recommendation Systems

🎧

Enhance audio quality

🗒️

Automate meeting notes summaries

✂️

Background Removal

🚫

Detect harmful or offensive content in images

😂

Make a viral meme

🎨

Style Transfer

🔤

OCR

💻

Code Generation

🎮

Game AI