AIbase
EN
Home
Face Discriminator
F

Face Discriminator

Developed by petrznel
A face classification model fine-tuned based on Microsoft ResNet-50, achieving 99.84% accuracy on the validation set
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision Face Classification#ResNet Fine-tuning#Image Classification
Downloads 23
Release Time : 3/15/2023

Model Overview

This model is an image classification model specifically designed for face recognition tasks, fine-tuned based on the ResNet-50 architecture

Model Features

High Accuracy
Achieves 99.84% classification accuracy on the validation set
Based on ResNet-50
Fine-tuned using the mature ResNet-50 architecture
Fast Training
Only requires 10 training epochs to achieve high performance

Model Capabilities

Face Image Classification
Face Recognition
Image Feature Extraction

Use Cases

Security Verification
Face Access Control System
Used for face recognition access control in buildings or devices
High accuracy ensures reliable security verification
Identity Authentication
Mobile Device Unlocking
Integrated into face unlock features for phones or tablets
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase