AxonData/Anti_Spoofing_Cut_print_attack

Cut 2D Masks Presentation Attack Detection for Liveness Detection (2K+ individuals)

Liveness Detection Dataset with video attacks with printed 2D masks. This dataset focuses on cutout photo print attacks which might be used by iBeta and NIST FATE to assess liveness detection algorithms. This dataset is tailored for training AI models to identify a variation of cutout 2D print attack

Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰

Dataset Description

• —2,000+ Participants: Engaged in the project
• —Diverse Representation: Balanced mix of genders and ethnicities
• —4,000+ Cutout Mask Attacks on the participants

Photo Print attack description

• —Each attack comprises of 10-15 sec. video
• —High-quality cutout photos with realistic colors
• —Paper attacks conducted on flat photos with a straight view on the camera (not bent or skewed)
• —Full version of dataset is availible for commercial usage - leave a request on our website Axonlabs to purchase the dataset 💰

Potential Use Cases:

• —Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and photo cutout print mask with high accuracy

Successfull Spoofing attack on a Liveness test by Duobango

Related Datasets

Other 2D and replay attack types:

• —Print Attack Dataset — photo print presentation attacks
• —Display Replay Attacks — screen replay attacks
• —Mobile Replay Attacks — phone screen replay attacks
• —iBeta Level 1 Certification Dataset — iBeta L1 attack set

Keywords: Cutout Print photo attack dataset, Antispoofing for AI, Liveness Detection dataset for AI, Spoof Detection dataset, Facial Recognition dataset, Biometric Authentication dataset, AI Dataset, PAD Attack Dataset, Anti-Spoofing Technology, Facial Biometrics, Machine Learning Dataset, Deep Learning