Each set in this training dataset consists of 22 different historical images and 1 enrollment image of individuals of South African people.
Facial Biometric data
This AI training dataset contains 500+ human historical image datasets for the face recognition model. Each dataset contains 22 different historical images and 1 enrollment image of a human face. A network comprising more than 500 individuals from African nations including Kenya, Malawi, Nigeria, Benin, Ethiopia, and many more has been used to gather the historical image data. The participants in the collection are males and females from the age group of 18 to 70 years. All images were collected with different lighting conditions and backgrounds to keep the Biometric dataset diverse and unbiased. All photos are of high quality.
Along with past Image data, it also has metadata of participants like name, age, gender, country, and demographic of each participant to make it ready to use for computer vision technology. This human picture dataset for machine learning can be useful for teaching and assisting machines to recognise and identify African people's faces. This training dataset can also be used to create models for KYC, biometric identity, and facial recognition, among other things.
We continuously add more assets of diverse conditions and requirements in this off-the-shelf Image dataset. In accordance with your unique AI demands, we can additionally gather more detailed facial data. You can explore our crowd community for custom facial data collection.
The license for this training dataset belongs to FutureBeeAI.
High-quality image training dataset having 22 historical images of individuals from last 10 years and 1 latest enrollment photo. These samples show the actual data you can use for your AI use cases. The whole training dataset has age variation, different backgrounds, and lightening conditions.
Indoor & outdoor
Android & IOS
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