CONSENTED FACE IMAGE DATA

Diverse Facial Image Dataset

Access a facial-image dataset built around high-resolution portraits of 5,000–10,000 unique adults aged 18–70. The collection is designed to provide broad variation across ethnicity, gender, expression, makeup, lighting, background, head pose, and occlusion conditions while maintaining strong overall image quality and clear subject visibility.

The dataset is structured for AI teams that need controlled diversity rather than generic portrait volume alone. Approximately 20% of the imagery features asymmetric expressions, while around 70% is unoccluded and captured in a mobile-shot style. All imagery is intended to meet GDPR, copyright, and explicit participant-consent requirements.

30,000
Images
5,000–10,000
Unique Adults
18–70
Age Range
20%
Asymmetric Expressions
70%
Unoccluded / Mobile-Shot
High Resolution
Image Quality

Dataset Preview

Previews with variation in expression, ethnicity, gender, head pose, makeup, lighting, background.

Preview assets shown here represent content available within the dataset.

Key Highlights

  • Up to 30,000 high-resolution facial images
  • At least 5,000–10,000 unique adult subjects
  • Adult age coverage from 18 to 70
  • Variation across ethnicity, gender, and appearance
  • Expression, makeup, lighting, and background diversity
  • Head-pose and occlusion variation
  • Approximately 20% asymmetric expressions
  • Approximately 70% unoccluded, mobile-shot imagery
  • High-resolution RAW photography, professionally colour graded and processed
  • Designed around GDPR, copyright, and explicit participant-consent requirements

Metadata Fields

title Descriptive title of the facial image
description Natural-language description of the visible person and image conditions
keywords Keyword tags describing facial presentation, expression, appearance, and visual context
age_range Adult age band or age-related classification where applicable
gender Gender descriptor where applicable
ethnicity Ethnicity-related descriptor where applicable
expression_type Visible facial expression category or description
asymmetry_flag Indicator showing whether the image contains an asymmetric expression
occlusion_status Indicator describing whether the face is unoccluded or partially occluded
head_pose Descriptor for frontal or varied head orientation
lighting_condition Description of the lighting setup or visible lighting characteristics
background_type Description of the background or environment shown
makeup_visibility Descriptor noting visible makeup variation where applicable
capture_style Indicator such as mobile-shot or other relevant capture context

Example Metadata Record

title: Adult woman with slight asymmetric smile in natural daylight

description: High-resolution facial portrait of an adult woman with a slight asymmetric smile, partial side angle, visible background context, and natural daylight conditions

keywords: face, portrait, adult, woman, asymmetric expression, natural light, facial image, mobile-shot, head pose

age_range: 25–34

gender: Female

ethnicity: Available where applicable

expression_type: Asymmetric smile

asymmetry_flag: Yes

occlusion_status: Unoccluded

head_pose: Slight three-quarter angle

lighting_condition: Natural daylight

background_type: Soft residential background

makeup_visibility: Light makeup

capture_style: Mobile-shot

Technical Specifications

Dataset Type

Diverse Facial Image Dataset

Content Type

High-resolution facial imagery

Image Count

Up to 30,000 images

Unique Subjects

5,000–10,000 adults

Age Range

18–70

Visual Diversity

Ethnicity, gender, appearance, expression, makeup, background, lighting, head pose, and occlusion variation

Expression Coverage

Approximately 20% asymmetric expressions

Occlusion / Capture Coverage

Approximately 70% unoccluded and mobile-shot imagery

Image Quality

High-resolution RAW photography

Processing

Professionally colour graded and processed for dataset consistency

Style

Consistent composition and lighting with candid and lightly directed portrait capture

Metadata Source

Mixture of human-authored and automatically generated standard stock metadata

Licensing, Documentation, and Delivery

Wavebreak Media can provide applicable participant-consent, provenance, licensing, and metadata information for the Diverse Facial Image Dataset, with dataset delivery organized around the project requirement. See our Dataset Licensing & Compliance page for more detail.

Need the Full Dataset?

Request access to the Diverse Facial Image Dataset or define the required mix of subjects, age coverage, expression conditions, occlusion levels, metadata fields, and delivery format for your face-focused AI workflow.

Selected Partners

Selected Wavebreak Media partners