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Vit Base Railspace
V
Vit Base Railspace
Developed by Kaspar
基于google/vit-base-patch16-224-in21k微调的视觉Transformer模型，在评估集上准确率达99.26%
Downloads 18
Release Time : 3/13/2023
Model Overview
该模型是针对图像分类任务优化的Vision Transformer模型，在特定数据集上表现出色，尤其擅长高精度分类任务。
Model Features
高准确率
在评估集上达到99.26%的准确率，表现优异
基于ViT架构
采用Vision Transformer基础架构，具有强大的图像特征提取能力
高效微调
仅需4轮训练即可达到高性能
Model Capabilities
图像分类
高精度识别
多类别区分
Use Cases
图像分析
地图图像识别
可用于识别和分析地图图像中的特定元素
从示例图像看，模型能准确识别地图图像块
工业质检
适用于生产线上的产品质量检测
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