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Biometric Datasets

Biometric dataset - a compilation of individual biological characteristics used for secure identification and authentication. Application areas of the datasets:
  • Facial Recognition: Data in the datasets to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity
  • Fraud Detection: Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems
  • Liveness Detection Algorithm Development: Data for the creation and improvement of algorithms that distinguish between real human faces and fake representations, ensuring more accurate liveness detection
  • Anti-Spoofing: The datasets can be used to develop and train systems that can detect fake faces, such as those created using masks or deepfakes.
  • Research and Development: These datasets are valuable resources for researchers exploring various aspects of biometrics, including algorithm development, performance evaluation, and ethical considerations.
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A high-quality dataset is key to success—90% of a neural network’s performance depends on it

At UniData, we offer ready-made datasets with comprehensive metadata and insights from top data scientists

Our datasets are chosen to:

01
Obtain iBeta Level 1 and Level 2 Certifications
02
Train neural networks on rare corner cases
03
Improve model accuracy to exceed 95%
04
Develop a robust internal database
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