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Object Detection Web App

Welcome to the Object Detection Web App repository! This web application utilizes a pre-trained model from Xenova's Transformers to detect objects in images uploaded by people.

Live Demo

Check out the live demo of the application

Features

  • Object detection in uploaded images with bounding boxes.
  • Support for various image formats.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

  • A modern web browser supporting JavaScript ES6.
  • No additional software is required to run the project locally.

Installing

Clone the repository to your local machine:

git clone https://github.com/ashesashes/object-detection-web-app.git

Navigate to the project directory:

cd object-detection-web-app

Open the index.html file in your browser to launch the app.

Usage To use the app:

Click the "Upload Image" button. Select an image from your device. The app will display the image with detected objects highlighted by bounding boxes. Built With Transformers.js - Object detection model. HTML, CSS, and JavaScript - For the web interface.

License This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments HuggingFace for the generous snippets

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