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Face Discriminator
F
Face Discriminator
Developed by petrznel
基于微软ResNet-50微调的人脸分类模型，在验证集上达到99.84%的准确率
Downloads 23
Release Time : 3/15/2023
Model Overview
该模型是一个图像分类模型，专门用于人脸识别任务，基于ResNet-50架构进行微调训练
Model Features
高准确率
在验证集上达到99.84%的分类准确率
基于ResNet-50
使用成熟的ResNet-50架构进行微调
快速训练
仅需10个训练轮次即可达到高性能
Model Capabilities
人脸图像分类
人脸识别
图像特征提取
Use Cases
安全验证
人脸门禁系统
用于建筑物或设备的人脸识别门禁
高准确率确保安全验证可靠性
身份验证
移动设备解锁
集成到手机或平板的人脸解锁功能
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