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Tomato Disease Detection V2
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Tomato Disease Detection V2

Developed by surprisedPikachu007
A tomato disease image classification model based on Google Vision Transformer (ViT) architecture with 98.87% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Agricultural disease identification#ViT fine-tuned model
Downloads 16
Release Time : 3/9/2023

Model Overview

This model is an image classification model for detecting tomato diseases, fine-tuned from the pre-trained ViT-base-patch16-224 model, suitable for agricultural disease identification scenarios

Model Features

High Accuracy
Achieves 98.87% classification accuracy on the test set
Based on ViT Architecture
Utilizes the advanced Vision Transformer architecture to effectively capture image features
Optimized for Agricultural Applications
Specifically optimized for tomato disease detection scenarios

Model Capabilities

Image classification
Plant disease identification
Agricultural image analysis

Use Cases

Smart Agriculture
Automatic Tomato Disease Detection
Automatically identifies disease types by capturing images of tomato leaves
Accurately identifies multiple common tomato diseases
Farm Disease Monitoring System
Integrated into farm monitoring systems for early disease warning
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