Statistical Rigor in YOLO Model Evaluation: Bootstrap Confidence Intervals and Failure Mode Analysis
The reliance on single-point metric estimates (such as a solitary mAP score) to benchmark object detection models frequently masks underlying sample variances, leading to overconfident deployment decisions. This paper presents an automated post-training validation pipeline for YOLO models designed to enforce statistica...