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Beard Face Image Detection

Developed by dima806
This model uses Google's ViT-base architecture to predict the presence of beards in facial images, achieving 100% accuracy on the test set.
Downloads 254
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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