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Vit Base Letter
V
Vit Base Letter
Developed by pittawat
基於Google的ViT基礎模型在字母識別數據集上微調的圖像分類模型，準確率達98.81%
Downloads 93
Release Time : 3/20/2023
Model Overview
該模型是基於Google的ViT基礎架構微調得到的字母識別模型，專門用於圖像中的字母分類任務。
Model Features
高準確率
在字母識別任務上達到98.81%的準確率
基於ViT架構
使用Vision Transformer基礎架構，具有強大的圖像特徵提取能力
輕量級微調
在預訓練模型基礎上僅進行4輪微調，訓練效率高
Model Capabilities
圖像分類
字母識別
字符識別
Use Cases
文檔處理
手寫字母識別
識別掃描文檔或照片中的手寫字母
準確率98.81%
教育技術
字母學習應用
用於兒童教育應用中識別和驗證書寫的字母
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