---
title: YOLOv8m Defence
emoji: 🛡️
colorFrom: red
colorTo: indigo
sdk: gradio
sdk_version: 5.34.2
app_file: app.py
pinned: false
license: apache-2.0
short_description: YOLOv8m object detection for defense and security.
---

# YOLOv8m Defence

This Space demonstrates the **YOLOv8m Defence** model for real-time object detection in defense and security applications.

## Model Information

- **Model**: [spencercdz/YOLOv8m_defence](https://huggingface.co/spencercdz/YOLOv8m_defence)
- **Architecture**: YOLOv8 Medium (YOLOv8m)
- **Framework**: Ultralytics YOLOv8
- **License**: Apache 2.0

## Features

- Real-time object detection and classification
- Optimized for defense and security scenarios
- Support for image and video inputs
- Interactive web interface powered by Gradio

## Usage

1. Upload an image
2. The model will automatically detect and classify objects
3. View results with bounding boxes and confidence scores
4. Download processed outputs if needed

## Model Performance

The YOLOv8m architecture provides an excellent balance between speed and accuracy, making it suitable for real-time applications while maintaining high detection performance.

## Technical Details

- **Input**: Images
- **Output**: Annotated images with detected objects
- **Processing**: GPU-accelerated inference when available

## Contact

For questions or issues, please open a discussion in the Community tab or contact the model author.