The Streamlit app now includes comprehensive download capabilities for all reports, models, and analysis files.
- Confusion Matrix (PNG) - Class performance correlation visualization
- Performance Metrics (PNG) - Detailed performance charts and radar plots
- Training Curves (PNG) - Multi-run training progress comparison
- Interactive Dashboard (HTML) - Plotly-based interactive visualizations
- Performance Report (MD) - Comprehensive markdown report
- Performance Summary (MD) - Executive summary of results
- Individual file downloads with proper MIME types
- Organized in 3-column layout for easy access
- Automatic file naming with timestamps
- Feature: Single ZIP file containing all performance reports
- Includes: All available PNG, HTML, and MD files
- Naming:
performance_reports_YYYYMMDD_HHMMSS.zip - Benefits: Easy sharing and archiving
- Best Precision Model - Latest trained model with 94.51% precision
- Training Run 1 Best - Original best performing model
- Training Run 2 Best - Alternative training run model
- Format: PyTorch model files (.pt)
- Use: Deploy models in production or share with team
- Main Configuration - Primary YAML configuration
- Improved Configuration - Enhanced training parameters
- High Precision Config - Precision-optimized settings
- YOLO Parameters - YOLO-specific configuration
- Format: YAML files for easy modification
- Training Script - Basic training implementation
- Improved Training - Enhanced training with better hyperparameters
- High Precision Training - Precision-focused training
- Performance Analysis - Comprehensive analysis tools
- Detection Fixer - Troubleshooting and optimization tools
- Format: Python scripts ready to use
- Feature: Complete project ZIP with all files
- Includes: Models, configs, scripts, reports, documentation
- Naming:
space_station_detection_project_YYYYMMDD_HHMMSS.zip - Benefits: Full project portability and sharing
- 📷 Annotated Image - Detection results with bounding boxes
- 📊 Statistics CSV - Detailed detection data in spreadsheet format
- 📄 Detection Report - Comprehensive markdown report with all detections
- 📷 Annotated Image - Webcam detection results
- 📊 Statistics CSV - Webcam detection statistics
- 📄 Detection Report - Webcam-specific detection report
- Image Information: Original filename, confidence threshold, total detections
- Detection Details: Class, confidence score, bounding box coordinates
- Timestamp: Generation date and time
- Format: Markdown for easy reading and sharing
- Organized download sections with clear labels
- Visual icons for different file types
- Responsive column layouts
- Progress indicators for large files
- All performance analysis files
- All trained models
- All configuration files
- All training and analysis scripts
- Complete project packages
- Proper MIME types for all files
- Timestamped filenames
- Organized ZIP archives
- Detailed file listings
- Individual file downloads
- Bulk ZIP downloads
- Complete project packages
- Ready-to-use formats
- Navigate to the "📥 Downloads" tab
- Choose from individual files or bulk downloads
- Click download buttons to save files
- Go to "📊 Analytics" tab for individual performance files
- Use "📥 Downloads" tab for bulk report downloads
- All files include timestamps for version control
- Download complete project ZIP for team sharing
- Use individual files for specific needs
- Reports are ready for presentations and documentation
- Easy export of all analysis results
- Ready-to-share reports and visualizations
- Complete project portability
- Share models and configurations
- Distribute analysis results
- Provide complete project packages
- Comprehensive reports for presentations
- Detailed analysis for technical documentation
- Complete project archives for version control
- Use Downloads: Access the new download features in the Streamlit app
- Share Results: Download and share reports with stakeholders
- Deploy Models: Use downloaded models in production systems
- Collaborate: Share complete project packages with team members
Download features added on: 2024-12-19 Enhances user experience and project portability