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Resnet 50 Finetuned Eurosat
基于ResNet-50架构在imagefolder数据集上微调的图像分类模型，准确率达82.4%
Downloads 24
Release Time : 11/4/2022
Model Overview
该模型是基于微软ResNet-50架构在imagefolder数据集上进行微调的图像分类模型，主要用于图像识别和分类任务。
Model Features
高准确率
在评估集上达到82.4%的准确率，表现优异
微调优化
基于ResNet-50预训练模型进行针对性微调，适应特定数据集
稳定训练
采用线性学习率调度和预热策略，训练过程稳定收敛
Model Capabilities
图像分类
特征提取
迁移学习
Use Cases
遥感图像分析
卫星图像分类
可用于对卫星拍摄的地表图像进行分类识别
准确率82.4%
通用图像识别
物体分类
可用于识别和分类各种常见物体
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