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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
基於Swin Transformer Tiny架構的圖像分類模型，在CIFAR10數據集上微調，準確率達97.24%
Downloads 16
Release Time : 3/8/2023
Model Overview
該模型是基於微軟Swin Transformer Tiny架構的視覺Transformer模型，專門針對CIFAR10圖像分類任務進行了微調。
Model Features
高準確率
在CIFAR10測試集上達到97.24%的準確率
高效架構
採用Swin Transformer的層次化窗口注意力機制，平衡計算效率和性能
微調優化
在基礎模型上針對特定任務進行優化，提升目標領域表現
Model Capabilities
圖像分類
視覺特徵提取
Use Cases
計算機視覺
CIFAR10圖像分類
對CIFAR10數據集中的10類物體圖像進行分類
準確率97.24%
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