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Swin Tiny Patch4 Window7 224 Finetuned Eurosat
这是一个基于Swin Transformer Tiny架构的微调模型，专门用于图像分类任务，在评估集上达到了97.59%的准确率。
Downloads 14
Release Time : 4/24/2022
Model Overview
该模型是基于microsoft/swin-tiny-patch4-window7-224在图像文件夹数据集上微调的版本，主要用于图像分类任务。
Model Features
高准确率
在评估集上取得了97.59%的高准确率
Swin Transformer架构
基于先进的Swin Transformer架构，具有优秀的图像处理能力
微调优化
在基础模型上针对特定任务进行了微调优化
Model Capabilities
图像分类
视觉特征提取
Use Cases
遥感图像分析
卫星图像分类
可用于对卫星图像进行自动分类
准确率达到97.59%
通用图像分类
物体识别
可用于识别图像中的物体类别
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