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Platzi Vit Model Orlando Murcia
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Platzi Vit Model Orlando Murcia
Developed by platzi
基于Google的ViT模型在beans数据集上微调的高精度图像分类模型
Downloads 37
Release Time : 1/30/2023
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，主要用于图像分类任务，在验证集上取得了98.5%的准确率。
Model Features
高准确率
在beans数据集验证集上达到98.5%的分类准确率
基于ViT架构
采用Vision Transformer架构，具有强大的图像特征提取能力
轻量级微调
仅需4个训练轮次即可达到优异性能
Model Capabilities
图像分类
植物病害识别
农作物健康检测
Use Cases
农业
豆类病害诊断
识别豆类植物的健康状态和病害类型
在beans数据集上达到98.5%的准确率
植物学研究
植物病理分析
辅助研究人员快速识别和分类植物病害
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