Facial Recognition Dataset — 2,403 Selfie Videos with Head Movement for Biometric AI Training
This facial recognition dataset is a strong fit for testing or fine‑tuning identity verification models. Comprising thousands of unique individuals in a single selfie video dataset, participants perform predefined head movements while counting aloud from 1 to 10. The recordings capture AI training data like natural facial motion and speech, supporting tasks such as facial modeling, liveness detection, facial recognition and identity verification.
This facial recognition dataset is a strong fit for testing or fine‑tuning identity verification models. Comprising thousands of unique individuals in a single selfie video dataset, participants perform predefined head movements while counting aloud from 1 to 10. The recordings capture AI training data like natural facial motion and speech, supporting tasks such as facial modeling, liveness detection, facial recognition and identity verification.
This facial recognition dataset is a strong fit for testing or fine‑tuning identity verification models. Comprising thousands of unique individuals in a single selfie video dataset, participants perform predefined head movements while counting aloud from 1 to 10. The recordings capture AI training data like natural facial motion and speech, supporting tasks such as facial modeling, liveness detection, facial recognition and identity verification.
This facial recognition dataset is a strong fit for testing or fine‑tuning identity verification models. Comprising thousands of unique individuals in a single selfie video dataset, participants perform predefined head movements while counting aloud from 1 to 10. The recordings capture AI training data like natural facial motion and speech, supporting tasks such as facial modeling, liveness detection, facial recognition and identity verification.
Dataset specs
Type
Video
Content type
Identity Verification
Region/Locale
Various
Amount
2.4K
Leverage
Enable reliable identity verification using this face recognition dataset that captures natural motion and speech through head movements and counting tasks.
Use cases
Train and evaluate AI‑driven interviewers and hiring copilots with high-quality AI training data to analyze realistic human–AI job interview interactions and improve question flow, follow‑ups and candidate assessment.
Develop models to flag spoofing attempts by leveraging motion and angle variation in this liveness detection dataset.
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Dataset specs
Type
Video
Content type
Identity Verification
Region/Locale
Various
Amount
2.4K