Object Detection Full Stack Project

This project is a full stack application for object detection using Next.js as the frontend framework, TensorFlow.js with MobileNet-v2 as the computer vision model, trained on the COCO dataset. The application allows users to upload images and detect objects within them using the pre-trained model.

Features

• Object Detection: Utilizes MobileNet-v2 model for accurate object detection.
• User-friendly Interface: Developed with Next.js, providing a smooth and intuitive user experience.
• Real-time Detection: Provides real-time detection of objects within uploaded images.

Deployment

The project is deployed on Vercel Cloud and can be accessed here.

Usage

Prerequisites

• Node.js installed on your machine

Installation

git clone https://github.com/shubham5027/CamvisionAI-computer-vision-based-object-Detection.git

cd object-detection-project

npm install i

Running the Application

npm run dev

Open your browser and visit http://localhost:3000 to view the application.

Deploying on Vercel

To deploy the application on Vercel, follow these steps:

1. Sign up or log in to your Vercel account.
2. Connect your GitHub repository to Vercel.
3. Configure the deployment settings as needed.
4. Deploy the application.

Demo

Check out the demo video showcasing the project functionality:

Contributing

Contributions are welcome! Please feel free to submit a pull request.

License

This project is licensed under the MIT License.

screen-capture.1.webm