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[DATA STORY] - Model Iteration improvements  #12

Description

@RaymondBrien

Implemented proper train/val/test split with fixed random seed
Added validation of image integrity
Logging system for tracking processing steps
Artifact management for saving results
Type hints for better code maintainability
Robust error checking at each step
Graceful handling of corrupt images
Batch processing for large datasets
Clear logging of each step
Comprehensive statistics saved as artifacts
Consider edge computing

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