Method: Principal Component Analysis (PCA) of YOLO detection embeddings
Dataset: Apple detection task from USC validation study
Model: YOLOv12 (best performing architecture with +34.24% improvement)
Sample size: Thousands of real and synthetic images
Interpretation: Labels appear throughout entire distribution, not in isolated regions
And the magic number is: 8 of 10
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