faizkhan7/object-detector-yolov8 repository overview

⁠YOLOv8 Object Detection Application

This repository provides a Docker image for a Flask-based web application using YOLOv8n for advanced object detection. The application supports image, video, and live webcam detection with a straightforward and intuitive user interface.

⁠Features

• Image Detection: Upload images for detection and view results instantly.
• Video Detection: Upload videos to detect objects frame-by-frame.
• Live Detection: Stream live video from your webcam for real-time object detection.
• Easy Setup: Run the application with Docker for a quick and hassle-free setup.

⁠Getting Started

⁠Prerequisites

• Docker installed on your machine.

⁠Running the Application

1. Pull the Docker Image

   docker pull faizkhan7/object-detector-yolov8:latest
   

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2. Run the Docker Container

   docker run -p 5000:5000 faizkhan7/object-detector-yolov8:latest
   

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3. Access the Application Open your web browser and go to http://localhost:5000⁠ to start using the application.

⁠Troubleshooting

If you encounter issues, ensure Docker is properly installed and running. Check Docker logs for any errors that might indicate issues with the container.