False positive

📖 Full definition

In facial recognition, a false positive happens when the system identifies two faces as the same person when they are actually different. The false-positive rate is a key indicator: a security camera with 1% FP becomes unusable at scale.

💡 Concrete example

A typical false positive: two brothers close in age classified as "the same person" by a low-accuracy model.

🔄 Synonyms

FP

🔗 See also

• Confidence threshold →
• Similarity score →

📰 Articles mentioning this

• Who Does My Child Look Like? What Family Resemblance Actually Reveals →
• Free Family Resemblance Test: How It Works and What to Expect →
• Baby Resemblance Test: How It Works and What It Measures →
• Who Does My Baby Look Like? Genetics, AI and the Surprising Truth →