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Face Discriminator 2
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Face Discriminator 2

Developed by petrznel
A face classification model fine-tuned based on ResNet-50, achieving an accuracy of 94.16% on the evaluation set
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision Face Classification#ResNet Fine-tuning#Image Feature Extraction
Downloads 23
Release Time : 3/30/2023

Model Overview

This model is a face classification model fine-tuned based on microsoft/resnet-50, primarily used for image classification tasks, especially suitable for face recognition scenarios.

Model Features

High Accuracy
Achieved a classification accuracy of 94.16% on the evaluation set
Based on ResNet-50
Uses the mature ResNet-50 architecture as the base model
Efficient Training
Only requires 2 training epochs to achieve high performance

Model Capabilities

Face Image Classification
Image Feature Extraction

Use Cases

Security & Authentication
Face Recognition Access Control System
Used for face recognition access control in buildings or restricted areas
High accuracy recognition enhances security
Social Media
Automatic Photo Tagging
Automatically identifies and tags people in photos on social media platforms
Improves user experience and platform interactivity
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