AxonData/2d-paper-mask-face-anti-spoofing

Cut-Out Paper Mask Face Spoofing Dataset

3,000 videos of partial 2D paper mask attacks from 50 participants, recorded on Galaxy A54 and iPhone 14 Pro. Built for training and evaluating face anti-spoofing, liveness detection, and presentation attack detection systems.

Full dataset for commercial use — request a license at axonlab.ai

Why Cut-Out Masks Are a Harder Problem

Standard print attack and paper mask datasets use full-face photo printouts. Cut-out masks are fundamentally different:

• The attacker's real skin, eyes, or mouth remain visible — bypassing texture-based detectors
• Real facial movement (blinking, lip movement) co-exists with the printed region
• Edge artifacts between real skin and paper are subtle and localized

This makes cut-out paper mask attacks a realistic blind spot for PAD systems trained only on full-face 2D or 3D attacks

Dataset Specifications

• 3,000 videos from 50 unique participants
• Multiple mask variations — printed cut-outs covering different facial regions (eyes, mouth, nose area) and their combinations
• Dual-device: Galaxy A54 (Android) + iPhone 14 Pro (iOS)
• 15 seconds per video with active liveness features: zoom-in/out, natural head movements, blinking
• Varied environments: diverse real-world backgrounds and lighting conditions
• Masks printed on high-quality paper, skin-tone matched, attached with transparent tape or held by hand

Applications

• Face anti-spoofing — train PAD models specifically for partial paper overlay attacks
• Liveness detection — improve robustness beyond replay and full-face print attacks
• iBeta certification preparation — test against realistic 2D attack scenarios before Level 1/2 submission
• Print attack detection — extend existing models to handle cut-out overlays

Need More Data?

This dataset is a ready-made sample. We offer custom data collection for cut-out paper mask attacks tailored to your requirements — including larger participant pools, additional devices, specific demographic distributions, and custom mask configurations

Contact us at axonlab.ai to discuss your project