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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013 6e 05
基于微软BEiT模型在FER2013数据集上微调的面部表情识别模型
Downloads 18
Release Time : 1/9/2023
Model Overview
该模型是基于BEiT视觉Transformer架构的面部表情分类器，专门针对面部表情识别任务进行了微调，在FER2013数据集上取得了68.63%的准确率。
Model Features
基于BEiT架构
采用先进的视觉Transformer架构，具有强大的图像特征提取能力
面部表情识别优化
专门针对FER2013面部表情数据集进行微调，适合情感分析应用
中等规模模型
基于BEiT-base架构，在计算效率和性能之间取得良好平衡
Model Capabilities
面部表情分类
情感状态识别
静态图像分析
Use Cases
情感计算
人脸表情分析系统
用于分析用户面部表情以推断情绪状态
在FER2013测试集上达到68.63%准确率
人机交互
智能客服情绪感知
实时检测用户面部表情变化以调整服务策略
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