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Vit Model Juan Bula
基于Google的ViT模型在beans数据集上微调的图像分类模型，用于识别豆类叶片健康状况
Downloads 13
Release Time : 12/11/2022
Model Overview
该模型是基于google/vit-base-patch16-224-in21k在beans数据集上微调的版本，专门用于豆类叶片健康状态的图像分类任务。
Model Features
高准确率
在beans数据集上取得了1.0的准确率，表现优异
基于ViT架构
采用Vision Transformer架构，具有良好的图像理解能力
轻量级微调
在预训练模型基础上进行轻量级微调，训练轮次仅4轮
Model Capabilities
图像分类
植物病害识别
健康叶片检测
Use Cases
农业
豆类病害检测
识别豆类叶片是否患有锈病等病害
准确率达到100%
植物健康监测
自动化监测豆类植物的健康状况
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