This repository contains a dataset of sugarcane leaf images used for detecting various diseases affecting sugarcane crops. The dataset is hosted on Kaggle and can be accessed here.
The dataset consists of images of sugarcane leaves categorized into different classes based on the type of disease. This dataset can be used for training machine learning models for image classification and disease detection in sugarcane plants.
The dataset includes the following classes:
- Healthy
- Mosaic
- Red Rot
- Rust
- Yellow
The dataset is organized into the following structure:
sugarcane-leaf-disease/ ├── healthy/ ├── Mosaic/ ├── Red_Rot/ ├── Rust/ ├── Yellow/
Each subdirectory contains images of sugarcane leaves belonging to the respective class.
To use this dataset, you will need to have Python installed on your machine along with the following libraries:
- numpy
- pandas
- tensorflow
- keras
- scikit-learn
- torch
- torchvision
You can install the required libraries using pip:
pip install numpy pandas tensorflow keras scikit-learn torch torchvision