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| 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. |