African Occluded Facial Image Dataset

Welcome to the African Human Face with Occlusion Dataset, carefully curated to support the development of robust facial recognition systems, occlusion detection models, biometric identification technologies, and KYC verification tools. This dataset provides real-world variability by including facial images with common occlusions, helping AI models perform reliably under challenging conditions.

The dataset comprises over 5,000 high-quality facial images, organized into participant-wise sets. Each set includes:

To ensure robustness and real-world utility, images were captured under diverse conditions:

Each image is paired with detailed metadata to enable advanced filtering, model tuning, and analysis:

This rich metadata helps train models that can recognize faces even when partially obscured.

This dataset is ideal for a wide range of real-world and research-focused applications, including:

To accommodate evolving AI needs, this dataset is continuously updated and fully customizable. Available customization options include:

This dataset is developed by FutureBeeAI and is available for commercial use.