[KongchangAI]
Unverified50% confidenceFactExact time

IQR is insensitive to extreme values and is particularly suitable for describing target area distributions that may exhibit a long tail or even zero values after cropping; when augmentation causes the targets in some samples to nearly disappear, the standard deviation is significantly inflated by outliers, whereas IQR still robustly reflects the dispersion of the main body of samples.

1
Sources
50%
Confidence
Long-term
Relevance
11/1/2026
First Seen

Sources

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