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Vit Model
V
Vit Model
Developed by mm-ai
基于预处理1024配置数据集微调的ViT模型，用于图像分类任务
Downloads 19
Release Time : 2/20/2023
Model Overview
该模型是基于Vision Transformer (ViT)架构的图像分类模型，在预处理1024配置数据集上进行了微调，主要用于图像分类任务。
Model Features
基于ViT架构
采用Vision Transformer架构，适用于图像处理任务
微调优化
在预处理1024配置数据集上进行了专门微调
中等准确率
在评估集上达到60.11%的准确率和59.56%的F1分数
Model Capabilities
图像分类
视觉特征提取
Use Cases
计算机视觉
通用图像分类
对输入的图像进行分类识别
准确率60.11%，F1分数59.56%
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