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Vit Liveness Detection V1.0

Developed by nguyenkhoa
This model is a face liveness detection model based on the Transformer library and has achieved excellent performance on the evaluation set.
Downloads 176
Release Time : 1/8/2025

Model Overview

This model is a face liveness detection model fine-tuned on google/vit-base-patch16-224, mainly used to distinguish real faces from forged faces.

Model Features

High accuracy
Achieved an accuracy, F1 score, recall rate, and precision rate of 0.9988 on the evaluation set
Based on the ViT architecture
Uses the Vision Transformer architecture, which has powerful feature extraction capabilities
Efficient training
Adopts automatic mixed-precision training, with high training efficiency

Model Capabilities

Face liveness detection
Image classification
Forged face recognition

Use Cases

Identity verification
Financial identity verification
Used in identity verification systems for scenarios such as banks and payments
Effectively prevent forgery attacks such as photos and videos
Access control system
Used for face liveness detection in intelligent access control
Improve the security of the access control system
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