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Swin Tiny Patch4 Window7 224 Finetuned Og Dataset 10e
基于Swin Transformer Tiny架构的视觉模型，在图像分类任务上进行了10轮微调
Downloads 19
Release Time : 2/16/2023
Model Overview
这是一个基于Swin Transformer Tiny架构的计算机视觉模型，经过在原始数据集上的10轮微调，适用于图像分类任务。
Model Features
高效Transformer架构
采用Swin Transformer架构，在保持高性能的同时降低计算复杂度
高准确率
在评估集上达到98.15%的准确率
快速推理
每秒可处理71.796个样本，适合实时应用
Model Capabilities
图像分类
特征提取
视觉表示学习
Use Cases
计算机视觉
通用图像分类
对输入图像进行分类识别
评估准确率98.15%
视觉特征提取
提取图像的高级特征表示
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