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10E Affecthq Fer Balanced W0.1 Jitter Jiggle
1
10E Affecthq Fer Balanced W0.1 Jitter Jiggle
Developed by Piro17
基於google/vit-base-patch16-224-in21k微調的視覺模型，用於面部表情識別任務
Downloads 17
Release Time : 2/15/2023
Model Overview
該模型是基於ViT架構的面部表情識別模型，在未知數據集上微調後，在評估集上取得了約60%的準確率。
Model Features
平衡訓練
使用了平衡的訓練策略，可能採用了類別權重或數據增強技術
數據增強
訓練中使用了jitter和jiggle等數據增強技術
穩定訓練
通過10輪訓練，模型性能穩定提升，未出現過擬合現象
Model Capabilities
面部表情識別
圖像分類
Use Cases
情感分析
即時表情識別
可用於視頻會議或社交媒體中的即時表情分析
準確率約60%
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