AxonData/high_precision_3d_resin_masks_real_faces

Face Spoofing Dataset with 3D Elastic Mesh Masks and Real Videos

This Dataset is a specialized face anti-spoofing dataset featuring personalized resin mask attacks targeting facial recognition systems and biometric authentication. This unique dataset employs custom-manufactured rubber face masks designed to replicate specific individuals’ facial features with high precision

What sets Rubber Mask Attack Dataset apart from conventional PAD datasets is its dual-recording methodology — capturing both authentic face videos and corresponding rubber mask attack videos of the same target individuals

##Dataset Features

• Dataset Size: ~2k videos shoot on 6 IDs
• The presence of videos of original faces (real people) from which masks were made
• Active Liveness Features: Includes zoom-in, zoom-out, and right/left rotation, head tilt to enhance training scenarios
• Attributes: Different hairstyles and accessories to enhance diversity
• Variability: indoor locations with different types of lighting
• Main Applications: Preparation for iBeta Level 2 certification, active and passive liveness for anti spoofing systems;

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

##Use cases and applications iBeta Level 2 Certification Compliance:

• Helps to train the models for iBeta level 2 certification tests
• Allows pre-certification testing to assess system performance before submission

Inhouse Liveness Detection Models:

• Used for training and validation of anti-spoofing models
• Enables testing of existing algorithms and identification of their vulnerabilities against spoofing attacks

Other similar datasets for iBeta Level 2:

• Silicone Mask Attack Dataset
• Latex Mask Dataset
• 3D Printed Face Mask Datasets
• Wrapped 3D Paper Mask Dataset

##Conclusion With its comprehensive features and simulation of real attack scenarios, the Rubber Mask Attack Dataset is indispensable for anyone involved in developing and certifying facial recognition and liveness detection technologies. Utilize this dataset to strengthen your systems against the most deceptive digital security threats