- Add --similarity-details flag to test_logo_detection.py
- Track true positive, false positive, and missed detection similarities
- Compute distribution statistics (min, max, mean, stddev, percentiles)
- Analyze overlap between TP and FP distributions
- Suggest optimal threshold based on data
- Show per-detection breakdown with top-5 matches
- Create analyze_similarity_distribution.sh wrapper script
- Supports baseline, finetuned, or both models
- Saves output to similarity_analysis/ directory
