Facial Recognition Dataset & Face Annotation Services

Expert facial recognition dataset creation and annotation. Face detection, landmark keypoints, attribute labeling, and identity tracking with privacy compliance and demographic diversity.

Diverse demographics
Pose & lighting variations
Privacy compliant

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Response within 24 hours • NDA by default

Trusted by Facial Recognition Teams

100
K+

Faces Labeled

Diverse

Demographics

Privacy

Compliant

48h

Pilot

Facial Recognition Datasets & Annotation

Specialized annotation for face recognition AI including face detection, facial landmark keypoints, attribute classification, and identity labeling. We ensure demographic diversity, pose variations, and lighting conditions for robust model training.

Face detection and bounding box annotation
Facial landmark keypoint labeling (68-point, 98-point)
Face attribute annotation (age, gender, ethnicity, emotion)
Face recognition dataset creation with identity labels
Pose variation and occlusion handling
Privacy-compliant data collection and anonymization
Facial Recognition Datasets

Access Control

Secure building and device authentication

Identity Verification

KYC and document verification systems

Consumer Apps

Photo tagging and social media features

Security Surveillance

Person tracking and watchlist matching

Emotion Recognition

Sentiment analysis and customer insights

AR/VR Applications

Face filters and virtual avatars

Trusted by AI Leaders

See what our clients say about working with AI Taggers

"AI Taggers built us a diverse facial recognition dataset with 50k identities across demographics. Their attention to pose variation and lighting conditions was crucial for our model's robustness."

Jennifer Kim
Head of AI, SecureAccess Technologies

Demographic Diversity

Balanced representation across age, gender, and ethnicity

Robust Variation

Multiple poses, lighting, and occlusion scenarios

Privacy Compliant

GDPR/CCPA-compliant data collection and anonymization


Build Robust Facial Recognition AI

Diverse, privacy-compliant facial datasets with expert annotation.