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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
該模型是基於microsoft/swin-tiny-patch4-window7-224在圖像文件夾數據集上微調得到的圖像分類模型，在評估集上準確率達到96.19%。
Downloads 14
Release Time : 6/1/2022
Model Overview
這是一個微調後的Swin Transformer圖像分類模型，專門用於高精度的圖像分類任務。
Model Features
高準確率
在評估集上達到96.19%的分類準確率
基於Swin Transformer
採用先進的Swin Transformer架構，具有優秀的圖像理解能力
輕量級模型
使用tiny版本，計算資源需求相對較低
Model Capabilities
圖像分類
視覺特徵提取
Use Cases
遙感圖像分析
土地覆蓋分類
對衛星圖像中的不同土地類型進行分類
96.19%的準確率
通用圖像分類
物體識別
識別圖像中的主要物體類別
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