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Deepweeds
D
Deepweeds
Developed by feisarx86
基于google/vit-base-patch16-224-in21k微调的图像分类模型，适用于植物分类任务
Downloads 24
Release Time : 8/15/2023
Model Overview
该模型是从TensorFlow迁移至PyTorch的视觉Transformer模型，专门用于植物图像分类。基于预训练的ViT模型进行微调，适用于特定领域的图像识别任务。
Model Features
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，适应特定领域的图像分类任务
高效训练
采用线性学习率调度和Adam优化器，训练效率高
Model Capabilities
植物图像分类
图像特征提取
迁移学习应用
Use Cases
农业科技
杂草识别
识别农田中的杂草种类
植物分类
对特定植物种类进行分类识别
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