|
--- |
|
title: Facial Liveness Detection |
|
emoji: 🚫 |
|
colorFrom: red |
|
colorTo: green |
|
sdk: gradio |
|
sdk_version: 3.14.0 |
|
app_file: app.py |
|
pinned: false |
|
--- |
|
|
|
|
|
# Facial Liveness Detection |
|
This Gradio app demonstrates a facial liveness detection model that can differentiate between real human faces and spoofed faces. |
|
|
|
## Model Description |
|
This model is trained to determine the authenticity of faces in images, aiming to prevent spoofing attacks in systems where facial recognition is a part of the security process. |
|
|
|
## How to Use the App |
|
1. Use the webcam to capture your image or upload an image using the interface. |
|
2. The app will process the image and display it with a label indicating whether the face is real or spoofed. |
|
|
|
## Limitations and Bias |
|
The model's performance may vary across different demographic groups and is dependent on the quality and diversity of the training data. |
