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Tomato Leaf Disease Classification Vit
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Tomato Leaf Disease Classification Vit

Developed by wellCh4n
A fine-tuned tomato leaf disease classification model based on Google Vision Transformer (ViT) architecture, achieving 99.67% accuracy on the evaluation set
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Agricultural disease recognition#ViT fine-tuned model
Downloads 55
Release Time : 12/21/2024

Model Overview

This model is specifically designed to identify and classify tomato leaf diseases, fine-tuned from a pre-trained ViT model on a tomato leaf disease image dataset.

Model Features

High accuracy
Achieves 99.67% classification accuracy on the evaluation set
ViT-based architecture
Utilizes Vision Transformer architecture to effectively capture global image features
Few-shot learning
Delivers excellent performance with limited data through fine-tuning of pre-trained models

Model Capabilities

Tomato leaf disease recognition
Plant disease classification
Agricultural image analysis

Use Cases

Smart agriculture
Early disease detection
Automatically detects tomato leaf diseases, helping farmers identify crop issues promptly
Accurately identifies multiple disease types
Precision agriculture management
Provides disease diagnosis support for precision agriculture
Reduces pesticide use and improves crop yield
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