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Plant Vit Model 1
P
Plant Vit Model 1
Developed by Carina124
基于ViT架构的植物图像分类模型，在未知数据集上微调后达到99.95%的验证准确率
Downloads 89
Release Time : 5/22/2023
Model Overview
该模型是基于Google的ViT-base-patch16-224-in21k预训练模型进行微调的视觉Transformer模型，适用于植物图像分类任务
Model Features
高准确率
在验证集上达到99.95%的分类准确率
基于ViT架构
使用Vision Transformer架构，具有强大的图像特征提取能力
迁移学习
基于预训练模型微调，适合小规模数据集
Model Capabilities
植物图像分类
图像特征提取
迁移学习
Use Cases
农业科技
植物种类识别
自动识别不同种类的植物
准确率高达99.95%
植物健康监测
通过图像分析植物健康状况
生态研究
生物多样性调查
自动识别野外植物种类
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