Deploy a YOLO Object Detection Application on Koyeb
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Koyeb is a developer-friendly serverless platform to deploy apps globally. No-ops, servers, or infrastructure management.
This repository is designed to show how to deploy an example app that uses the YOLO (You Only Look Once) algorithm for real-time image object detection to Koyeb. The application uses Streamlit to build and serve a simple web interface and the Ultralytics YOLO implementation to process videos, detect objects, and manipulate video frames in real time. The application runs on Koyeb's GPU instances for high performance and scalability.
Follow the steps below to deploy the YOLO object detection application to your Koyeb account.
To use this repository, you need:
- A Koyeb account to build the
Dockerfileand deploy it to the platform. If you don't already have an account, you can sign-up for free.
The fastest way to deploy the YOLO object detection application is to click the Deploy to Koyeb button below.
Clicking on this button brings you to the Koyeb App creation page with the settings pre-configured to launch this application.
To modify this application example, you will need to fork this repository. Checkout the fork and deploy instructions.
If you want to customize and enhance this application, you need to fork this repository.
If you used the Deploy to Koyeb button, you can simply link your service to your forked repository to be able to push changes. Alternatively, you can manually create the application as described below.
On the Koyeb Control Panel, on the Overview tab, initiate the app creation and deployment process by clicking Create Service and then choosing Create web service.
- Select GitHub as the deployment source.
- Select your repository from the menu.
- In the Instance selection, select a GPU Instance.
- In the Builder section, choose Dockerfile.
- In the Exposed ports section, change the port to
8501. - Click Deploy.
The repository will be pulled, built, and deployed on Koyeb. Once the deployment is complete, it will be accessible using the Koyeb subdomain for your service.
If you have any questions, ideas or suggestions regarding this application sample, feel free to open an issue or fork this repository and open a pull request.