Hispanic Children Facial Image Dataset

This dataset features high-quality facial images of children under 18 from across Hispanic 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.

Category

Facial Biometric Data

Total volume

1000+ images

Last Updated

July 2025

Number of participants

50+ people

Diverse children's facial images for vision AI

About This OTS Dataset

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Introduction

The Hispanic 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 1000 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 Argentina, Brazil, Costa Rica, Ecuador, Colombia, Peru, 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.

    Use Cases

    Use of human image datasets in Face Recognition

    Facial Recognition

    Use of kids image datasets in Child Detection

    Child Identification

    Dataset Sample(s)

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    Dataset Details

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    Demographic

    Hispanic

    Countries

    Argentina, Brazil ...more

    Volume

    1000+ images

    Gender Distribution

    M:50, F:50

    Age Group

    Below 18 Years

    File Details

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    Environment

    Indoor & Outdoor

    Format

    JPEG & HEIC

    Device

    Android & iOS

    Resolution

    480p and above

    Annotation

    NA

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