Real-Time Object Detection App with Tensorflow.JS and React.JS

Welcome to the Real-Time Object Detection App! This project demonstrates how to build a real-time object detection application using Tensorflow.JS and React.JS. The app utilizes the pre-trained COCO SSD model to detect and classify objects through the user's webcam.

Features

• Real-Time Detection: Detects and classifies objects in real-time using your webcam.
• Pre-trained COCO SSD Model: Leverages the COCO SSD model for efficient and accurate object detection.

Screenshots

Technologies Used

• JavaScript
• React.JS
• Tensorflow.JS
• HTML
• CSS

Getting Started

Follow these instructions to get a copy of the project up and running on your local machine.

Prerequisites

• Node.js
• npm (Node Package Manager)

Installation

1. Clone the repository:

   git clone https://github.com/mbelk059/RealTimeObjectDetection.git

2. Navigate to the project directory:

   cd RealTimeObjectDetection

3. Install the dependencies:

   npm install

Running the App

1. Start the development server:

   npm start

2. Open your browser and navigate to http://localhost:3000.

Usage

Once the app is running, it will request access to your webcam. Allow access, and you should see a live video feed with real-time object detection and classification.