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.
- 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.
The project is deployed on Vercel Cloud and can be accessed here.
- Node.js installed on your machine
git clone https://github.com/shubham5027/CamvisionAI-computer-vision-based-object-Detection.git
cd object-detection-project
npm install i
npm run dev
Open your browser and visit http://localhost:3000 to view the application.
To deploy the application on Vercel, follow these steps:
- Sign up or log in to your Vercel account.
- Connect your GitHub repository to Vercel.
- Configure the deployment settings as needed.
- Deploy the application.
Check out the demo video showcasing the project functionality:
Contributions are welcome! Please feel free to submit a pull request.
This project is licensed under the MIT License.
