beard_face_image_detection Open-source Model - Accurately Predict the Presence of Beards in Facial Images

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.

Face-related

Transformers

Open Source License:Apache-2.0 #Beard Recognition #High-precision Classification #Facial Feature Analysis

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

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご