YOLOv8m_defence / README.md
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metadata
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

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.