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Vit Cifar100
V
Vit Cifar100
Developed by Ahmed9275
基於Google的ViT基礎模型在Cifar100數據集上微調得到的圖像分類模型，準確率達到89.85%
Downloads 920
Release Time : 5/18/2022
Model Overview
該模型是基於Vision Transformer (ViT)架構的圖像分類模型，專門針對Cifar100數據集進行微調優化，適用於通用圖像分類任務
Model Features
高準確率
在Cifar100測試集上達到89.85%的分類準確率
基於ViT架構
採用Vision Transformer架構，利用自注意力機制處理圖像
高效微調
僅需4輪訓練即可達到良好性能
Model Capabilities
圖像分類
多類別識別
Use Cases
計算機視覺
通用圖像分類
對Cifar100數據集中100個類別的圖像進行分類
89.85%的測試準確率
教育研究
可作為計算機視覺教學的基準模型
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