MobileNetV2 Plant Disease Recognition Model - Open source and free, achieving an accuracy of 95.41% on the PlantVillage dataset

Mobilenet V2 1.0 224 Plant Disease Identification

Developed by linkanjarad

A plant disease identification model fine-tuned based on the MobileNetV2 architecture, achieving 95.41% accuracy on the PlantVillage dataset

Downloads 3,565

Release Time : 4/4/2023

Model Overview

This model is used to identify common crop diseases and assess plant health conditions, but it cannot replace actual diagnosis by professionals

High Accuracy

Achieves 95.41% accuracy in plant disease identification tasks

Lightweight Architecture

Based on the MobileNetV2 architecture, suitable for mobile and edge device deployment

Multi-class Recognition

Can identify diseases in 38 common crop categories (including healthy crops)

Plant Disease Identification

Crop Health Assessment

Image Classification

Agriculture

Early Disease Detection

Detect early-stage diseases by photographing crop leaves

95.41% accuracy

Farm Health Monitoring

Regularly scan crops to assess overall health conditions

Property	Details
Tags	generated_from_trainer
Datasets	image_folder
Metrics	accuracy
Model Name	mobilenet_v2_1.0_224-plant-disease-identification
Task	Image Classification
Dataset Name	New Plant Diseases Dataset
Dataset Type	image_folder
Dataset Split	train
Accuracy	0.9541

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