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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013 8e 05
基於BEiT架構的圖像分類模型，在FER2013數據集上微調，用於面部表情識別任務
Downloads 87
Release Time : 1/9/2023
Model Overview
該模型是基於微軟BEiT架構的視覺Transformer模型，專門針對面部表情識別任務進行了微調。它在FER2013數據集上取得了68.5%的準確率。
Model Features
基於BEiT架構
使用BEiT（BERT預訓練圖像Transformer）架構，結合了視覺Transformer的優勢
面部表情識別
專門針對面部表情識別任務進行了優化
中等規模模型
基於BEiT-base架構，在計算效率和性能之間取得平衡
Model Capabilities
圖像分類
面部表情識別
視覺特徵提取
Use Cases
情感計算
面部表情分析
分析人臉圖像中的表情，識別基本情緒狀態
在FER2013數據集上達到68.5%準確率
人機交互
情感感知系統
用於構建能夠感知用戶情緒狀態的交互系統
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