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Computer Vision · intermediate · concept 160 of 311 · Updated Nov 4, 2026

Face Detection & Recognition

Finding faces in images, then matching them to identities via face embeddings, where verification is one-to-one and identification is one-to-many. Accuracy went superhuman in the deep-learning era, which is exactly why the ethics got harder: demographic error gaps, surveillance concerns, and outright bans in some jurisdictions are part of the topic, not a footnote.

L6 · Deep learning engineerDevelopersTech leadersQA and testing

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Key terms

Face embeddingsVerification vs identificationLiveness detectionNIST FRVTDemographic error gaps

Where you meet it in the real world

Phone unlock, passport e-gates, photo library grouping, and the regulation debates around all three