Beard Face Image Detection
This model uses Google's ViT-base architecture to predict the presence of beards in facial images, achieving 100% accuracy on the test set.
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Release Time : 10/13/2023
Model Overview
A computer vision model based on the Vision Transformer (ViT) architecture, specifically designed to detect the presence or absence of beards in facial images.
Model Features
High-precision Classification
Achieved 100% accuracy, precision, and recall on the test set
ViT-based Architecture
Utilizes the Vision Transformer base model with powerful image feature extraction capabilities
Lightweight Application
Suitable for deployment in scenarios requiring real-time facial feature analysis
Model Capabilities
Facial Feature Recognition
Image Classification
Beard Detection
Use Cases
Authentication
Facial Feature Verification
Used to detect changes in facial features in authentication systems
Accurately identifies changes in facial hair
Appearance Analysis
Appearance Feature Statistics
Statistics on the proportion of people with beards in a population
Provides high-precision beard presence detection
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