African Children Facial Image Dataset

This dataset features high-quality facial images of children under 18 from across African countries. It offers broad demographic diversity and comes with rich metadata, making it ideal for tasks such as facial recognition, age estimation, and computer vision research focused on younger age groups.

About This OTS Dataset

Introduction

The African Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1500 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

•

Geographic Coverage: Children from Kenya, Malawi, Nigeria, Ethiopia, Benin, Somalia, Uganda, and more

•

Age Group: All participants are minors, with a wide age spread across childhood and adolescence.

•

Gender Balance: Includes both boys and girls, representing a balanced gender distribution.

•

File Formats: Images are available in JPEG and HEIC formats.

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

•

Lighting: A mix of lighting setups, including indoor, outdoor, bright, and low-light scenarios.

•

Backgrounds: Diverse backgrounds—plain, natural, and everyday environments—are included to promote realism.

•

Capture Devices: All photos are taken using modern mobile devices, ensuring high resolution and sharp detail.

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

•Unique Participant ID

•File Name

•Age

•Gender

•Country

•Demographic Attributes

•File Format

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

•

Facial Recognition: Improving identification accuracy across diverse child demographics.

•

KYC and Identity Verification: Enabling more inclusive onboarding processes for child-specific platforms.

•

Biometric Systems: Supporting child-focused identity verification in education, healthcare, or travel.

•

Age Estimation: Training AI models to estimate age ranges of children from facial features.

•

Child Safety Models: Assisting in missing child identification or online content moderation.

•

Generative AI Training: Creating more representative synthetic data using real-world diverse inputs.

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

•

Guardian Consent: Every participant’s guardian provided informed, written consent, clearly outlining the dataset’s use cases.

•

Privacy-First Approach: Personally identifiable information is not shared. Only anonymized metadata is included.

•

Secure Storage: All data is collected and stored via FutureBeeAI’s secure platform to ensure integrity and confidentiality.

Updates and Customization

This dataset is continuously expanded and can be customized based on client needs. We offer tailored data collection to meet specific model development requirements, including:

•

Background Settings: Indoor, outdoor, and context-specific environments.

•

Lighting Preferences: Daylight, low-light, and mixed lighting conditions.

•

Time-Based Captures: Morning, afternoon, evening, or night settings.

•

Device-Specific Collection: Capture using specific smartphone brands or OS versions.

•

Custom Annotations: Add-on services like facial landmarks, boundary boxes, age brackets, and other semantic tags.

•

Resolution Variants: Images can be delivered in specific resolutions or formats upon request.

Licensing

This dataset is developed and owned by FutureBeeAI and is available for commercial licensing. Custom licensing agreements are available for enterprise, academic, or research use.