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African Facial Images with Occlusion Dataset
Each set in this dataset consists of 5 different facial images with various occlusions like mask, cap, sunglass, and a combination of these accessories of African people. The dataset also includes extensive metadata.
Category
Facial Biometric data
Total volume
5K+ images
Last Updated
June 2024
Number of participants
1000+ people
Get this AI Dataset
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About This OTS Dataset
Introduction
Welcome to the African Human Face with Occlusion Dataset, meticulously curated to enhance face recognition models and support the development of advanced occlusion detection systems, biometric identification systems, KYC models, and other facial recognition technologies.
Facial Image Data
This dataset comprises over 5,000 human facial images, divided into participant-wise sets with each set including:
•
Occluded Images:
5 different high-quality facial images per individual occluded through various accessories such as masks, caps, sunglasses, or a combination of these accessories.
•
Normal Images:
One image without any accessories.
Diversity and Representation
The dataset includes contributions from a diverse network of individuals across African countries:
•
Geographical Representation:
Participants from countries including Kenya, Malawi, Nigeria, Ethiopia, Benin, Somalia, Uganda, and more.
•
Demographics:
Participants range from 18 to 70 years old, representing both males and females in 60:40 ratio, respectively.
•
File Format:
The dataset contains images in JPEG and HEIC file format.
Quality and Conditions
To ensure high utility and robustness, all images are captured under varying conditions:
•
Lighting Conditions:
Images are taken in different lighting environments to ensure variability and realism.
•
Backgrounds:
A variety of backgrounds are available to enhance model generalization.
•
Device Quality:
Photos are taken using the latest mobile devices to ensure high resolution and clarity.
Metadata
Each facial image set is accompanied by detailed metadata for each participant, including:
•Unique Identifier
•File Name
•Age
•Gender
•Country
•Demographic Information
•Occlusion Type
•File Format
This metadata is essential for training models that can accurately recognize and identify human faces with occlusions across different demographics and conditions.
Usage and Applications
This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:
•
Facial Recognition Models:
Improving the accuracy and reliability of facial recognition systems.
•
KYC Models:
Streamlining the identity verification processes for financial and other services.
•
Biometric Identity Systems:
Developing robust biometric identification solutions.
•
Occlusion Identification:
Enhancing models to accurately identify faces with occlusions.
Secure and Ethical Collection
•
Data Security:
Data was securely stored and processed within our platform, ensuring data security and confidentiality.
•
Ethical Guidelines:
The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants.
•
Participant Consent:
All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent.
Updates and Customization
We understand the evolving nature of AI and machine learning requirements. Therefore, we continuously add more assets with diverse conditions to this off-the-shelf facial image dataset.
•
Background Conditions:
Specific conditions upon request, like indoor or outdoor.
•
Lighting Condition:
Different lighting conditions can be achieved.
•
Capture Time:
Variation can be achieved by capturing images at different times of day like morning, afternoon, evening, or night as per requirement.
•
Resolution:
Custom collection as per requirement.
•
Annotation:
Custom annotations like facial landmarks, facial boundaries, semantics, bounding boxes, or any other application-specific annotations can be done upon request.
•
Device-specific Collection:
Data can be collected from specific devices with specific brands or operating systems.
•
Custom Occlusion:
Custom datasets can be created with custom occlusions as per requirement.
License
This facial image training dataset is created by FutureBeeAI and is available for commercial use.
Use Cases
Facial recognition
Biometric Identification
KYC
Smart Retail
Occluded Human Identification
Dataset Sample(s)
FILE DETAILS
These samples are to give you a glimpse of the actual facial dataset. The actual dataset is diverse across different occlusion, age groups, genders, backgrounds, and lighting conditions to help you build a robust and unbiased facial recognition AI model.
ATTRIBUTE
| Gender | Age | Accessory | Annotation |
|---|---|---|---|
| Female | 26 | Mask & Goggles | NA |
Dataset Details
Demographic
African
Countries
Kenya,...more
Volume
5K+ images
Gender Distribution
M:60, F:40
Age Group
18-70
Image File Details
Environment
Indoor & Outdoor
Format
JPEG & HEIC
Device
Android & iOS
Resolution
480p
Annotation
NA
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