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Swin Tiny Patch4 Window7 224 Finetuned Og Dataset 10e Finetuned Og Dataset 10e
Model Overview
該模型是基於Swin Transformer Tiny架構的微調版本，專門用於圖像分類任務。在評估集上達到了98.78%的準確率。
Model Features
高準確率
在評估集上達到98.78%的分類準確率
高效推理
每秒可處理72個樣本，適合即時應用
輕量級架構
基於Swin Transformer Tiny變體，計算效率高
Model Capabilities
圖像分類
特徵提取
Use Cases
計算機視覺
通用圖像分類
對常見物體和場景進行分類識別
評估準確率98.78%
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