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Vit Base DogSick
V
Vit Base DogSick
Developed by jungjongho
基于Google的ViT基础模型微调的视觉分类模型，适用于特定领域的图像识别任务
Downloads 29
Release Time : 10/22/2022
Model Overview
该模型是基于Google的ViT-base-patch16-224-in21k模型进行微调的版本，主要用于图像分类任务。在评估中表现出中等水平的准确率和F1分数。
Model Features
基于ViT架构
采用Vision Transformer架构，利用自注意力机制处理图像数据
中等规模模型
基于ViT-base架构，平衡了性能和计算资源需求
微调优化
在特定领域数据集上进行微调，可能针对特定类型的图像分类任务
Model Capabilities
图像分类
特征提取
Use Cases
计算机视觉
特定领域图像分类
可用于特定领域的图像分类任务，如医学图像分析、工业质检等
在评估集上达到61%的准确率和59.8%的F1分数
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