AxonData/liveness-detection-dataset

100,000+ spoofing videos for liveness detection. A general-purpose liveness detection dataset designed for training and evaluating face anti-spoofing models. Unlike narrow public datasets that cover only one or two attack types, this dataset combines all major presentation attack categories in a single resource — paper attacks, replay attacks, 3D masks (silicone, latex, paper-wrapped, resin), and more

Attack Types in This Dataset

Each video/image sequence is labeled with one of the following classes:

Label	Type	Category
live	Bona fide	Genuine
photo_print	Printed photo	iBeta L1 (2D)
3d_paper_mask	3D paper mask	iBeta L1/L2
wrapped_3d_print	Paper-wrapped 3D	iBeta L2
cylinder_3d_mask	Cylinder paper mask	iBeta L1
cutout_2d_mask	Cut-out 2D mask	iBeta L1
on_actor_print	Worn paper attack	iBeta L1
mobile_replay	Phone screen replay	iBeta L1
display_replay	Monitor/tablet replay	iBeta L1
silicone_mask	Silicone 3D mask	iBeta L2
latex_mask	Latex mask	iBeta L2
cloth_3d_mask	Fabric 3D mask	iBeta L2
resin_mask	High-fidelity resin	iBeta L3

Full version of the dataset is available for commercial usage. Leave a request on our website Axonlabs to purchase the dataset 💰

For feedback and additional sample requests, please contact us!

Quick Stats

• ~100,000 videos
• 11+ attack types covered and can be collected more
• Actual capture devices (iPhone 14/13 Pro, Galaxy S23, Pixel 7, Redmi, Honor 70, etc.)
• Indoor + outdoor environments
• Balanced gender and ethnicity

Example Use Cases

1. Train binary anti-spoofing classifier

• Bona fide vs all attack types combined

2. Multi-class attack-type classifier

• Useful for explainable AI: "this is a silicone mask attack" vs "this is a replay"
• Useful for model debugging (which attack types fail?)

3. iBeta certification prep

• Filter dataset to L1 attacks → train → benchmark
• Same for L2, L3
• Verify model APCER/BPCER thresholds

Why Use This Dataset

• Reduces dataset assembly overhead - one resource instead of combining CASIA-FASD + Replay-Attack + OULU-NPU + others
• Maps to real certification protocols - iBeta Level 1/2/3 categories
• Modern capture quality - recent smartphones, not academic 2015-era setups

About Axon Labs

Axon Labs builds biometric AI training datasets. Trusted by 21% of iBeta-certified biometric companies. Specializing in liveness detection, face recognition, and voice anti-spoofing data