https://github.com/camerodev/rice-disease-classification

https://github.com/camerodev/rice-disease-classification

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/camerodev/rice-disease-classification
• Owner: camerodev
• Created: 2024-03-18T02:48:13.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-18T02:48:17.000Z (about 1 year ago)
• Last Synced: 2025-04-07T16:43:28.401Z (about 2 months ago)
• Language: Jupyter Notebook
• Size: 18.6 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Rice-Disease-Classification

## Introduction

*This a challenge sponsored by Microsoft that was hosted on zindi platform*  

The objective of this challenge was to predict the disease of a rice plant giving it's RGB and Infrared images.  

There are three possible categories for a plant:  

* rice blast disease

* brown spot disease

* healthy

## Models Used

Variant types of (CNN-Transformer) based models were trained with variant sizes (ResNet-EffNet-ConvNext-Swin-Deit-Coat).

## Reslults

Simple resnet_152 achieves ~ 96.5% accuracy.