Detect and Audit Train/Test Leakage from Near-Duplicate Images // Detects near-duplicate images across dataset splits using perceptual hashing, reports the resulting train/validation/test contamination, and produces a corrected, leak-free split assignment. Intended for machine learning researchers who need to verify that image classification splits do not share near- duplicate samples across partitions before reporting model metrics.