2D Print Attacks and Silicone Masks Attacks Dataset

Real vs Fake Human Voice – Deepfake Audio Dataset contains 5,000 audio files featuring both genuine human recordings and AI-generated voice samples. Each set includes four speakers with multiple clips across M4A and MP3 formats. The dataset supports research in deepfake detection, generated speech analysis, and real vs fake human voice recognition tasks.

Kids Anti-Spoofing Dataset provides 6,000 high-quality facial images of children aged 7–15 for face anti-spoofing and liveness detection tasks. This child safety dataset supports research in biometric systems, helping improve facial recognition accuracy, detect spoofing attacks, and build safer AI models for protecting kids in digital and identification environments.

This high-quality open palm dataset includes 500,000 annotated images collected from 50,000 people, with each set containing six palm photos, two printed-hand images, and two replay videos. Designed for hand recognition and computer vision research, it provides detailed metadata - age, gender, ethnicity, profession, device type, dominant hand, and jewelry status.

It is a synthetic Turkish passports dataset containing 5,000 high-quality, AI-generated images. Labeled with detailed metadata - including passport ID, class, gender, and lighting - this dataset supports PII extraction, identity verification, and biometric recognition system training while maintaining strict data protection standards.

iBeta Kids Dataset is a child safety dataset featuring over 46,000 short video samples of children across different age groups, recorded under varied lighting, devices, and conditions. It includes four main attack types - Real Person, 2D Mask, 3D Mask, and Replay - helping develop biometric systems that detect spoofing and ensure safe, accurate child identification.

This German passport dataset provides 5,000 AI-generated synthetic passport images, engineered for training and benchmarking ML models in document analysis and PII extraction. It features high-resolution JPG samples with controlled variations across 3 angles, 4 lighting conditions, and 4 backgrounds, each annotated with detailed metadata including passport ID, gender, and age group for robust model development.

Synthetic Printed Mexican Passports Dataset includes a diverse collection of AI-generated passport images replicating authentic Mexican passport layouts, fonts, and visual features. Designed for machine learning and OCR training, it supports tasks like document verification, data extraction, and identity recognition across varied lighting, backgrounds, and camera perspectives.

Synthetic Printed UK Passports Dataset offers 5,000 realistic, AI-generated images of British passports, reflecting authentic United Kingdom passport layouts, textures, and photo styles. Designed for machine learning, OCR, and biometric identification, this dataset enhances models used in document verification, immigration systems, and digital identity research.

This synthetic NZ passports dataset features 5,000 high-resolution, AI-generated New Zealand passport images captured under varied angles, lighting, and backgrounds. Designed for OCR, computer vision, and identity verification research, this NZ passport dataset supports training models in PII extraction, document recognition, and synthetic passport analysis with rich metadata annotations.

Synthetic USA Driver License Dataset features 5,000 high-quality, AI-generated images of U.S. driver licenses from multiple states, including California, Texas, and New York. Designed for OCR, data extraction, and identity verification model training, this synthetic dataset ensures realistic detail, balanced demographics, and secure handling of personally identifiable information.