Portrait Image Dataset for Face Recognition AI Training

Our dataset ensures fair and unbiased model performance through carefully balanced representation:

Ethnicities: Caucasian, East Asian, South Asian, Southeast Asian, African, Latin American, Middle Eastern.

Age Groups: Infants (0–3), children (4–12), teenagers (13–19), adults (20–40), middle-aged (41–60), seniors (60+).

Gender Balance: Approximately 50/50 male/female distribution.

Facial Features: Diverse facial structures, skin tones, eye shapes, and facial hair styles.

Train your models to handle any scenario:

Lighting Conditions: Natural daylight, golden hour, overcast, night time, low-light, backlight, fluorescent, LED, mixed lighting.

Backgrounds: Urban streets, offices, homes, nature, transportation hubs, retail spaces, industrial settings.

Camera Quality: Professional DSLR, smartphone cameras (various models), surveillance cameras, webcams.

Distance: Close-up (selfie range), medium distance (2–5m), long distance (5–15m).

Every image undergoes rigorous multi-stage annotation:

Facial Landmarks: 68-point (standard) or 106-point (enhanced) landmark detection with sub-pixel accuracy.

Pose Estimation: Yaw, pitch, roll angles with ±2° precision.

Occlusion Mapping: Pixel-level occlusion masks for glasses, masks, hands, and other obstructions.

Attribute Tags: 50+ attributes including glasses type, facial hair, makeup, headwear, expression intensity.

Quality Score: Each image graded on blur, exposure, contrast, and composition.

Full compliance with global privacy regulations:

Informed Consent: All subjects signed explicit consent forms for commercial AI training use.

Age Verification: Strict protocols for minors (parental consent required).

Anonymization Options: Face blurring, de-identification, or synthetic alternatives available upon request.

GDPR/CCPA Compliant: Full data traceability and right-to-delete mechanisms.

No Sensitive Content: Strict filtering of inappropriate or offensive material.

We deliver datasets in industry-standard formats:

Image Formats: JPEG, PNG, or TIFF (lossless compression available).

Annotation Formats: JSON, XML (PASCAL VOC), COCO format, TFRecord.

Folder Structure: Organized by category, attribute, or custom requirements.

Metadata: Comprehensive CSV with all attributes and quality metrics.