Corn Leaf Classification

## Overview

Corn Leaf Classification is a dataset for classification tasks - it contains Disease annotations for 492 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

In this dataset lies 2355 images of maize leaves with different diseases. The images were taken over a variety of times and locations in South Africa. The diseases labelled herein are:

Grey Leaf Spot (GLS) Northern Corn Leaf Blight (NCLB) Common Rust (CR) Southern Rust (SR) Phaeosphaeria Leaf Spot (PLS)

The data contains a realistic representation of field conditions where it shows images of leaves destroyed by bugs, protein deficiencies, leaves with hands occluding them, different lighting conditions, some leaves are wet, backgrounds vary wildly, anthers, bird droppings, several simultaneous and sometimes even overlapping diseases.The Readme.txt or the file description of the parent folder gives more details as to how the images are stored and annotated.

Corn Leaf Diseases

## Overview

Corn Leaf Diseases is a dataset for object detection tasks - it contains Plants annotations for 416 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

The Corn Leaf Infection Dataset contains over 1,000 high-resolution images of corn leaves, categorized into healthy and pest-infected classes. Infected samples include pests such as the Fall Armyworm, with annotations created using VoTT. The dataset is designed to support AI-based solutions for crop health monitoring and pest detection.

Corn Maize Leaf Disease

## Overview

Corn Maize Leaf Disease is a dataset for classification tasks - it contains Corn annotations for 4,186 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

yanbayu/corn-leaf-disease-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Kazi Md. Naimur Rahman

Released under MIT

Contents

Dataset Card for "maize-leaf-disease"

More Information needed

This dataset contains 4,776 augmented corn leaf disease images generated using a Reinforcement Learning–based Neural Style Transfer (RL-NST) framework. The images extend existing resources, including PlantVillage, CCMT, and field-collected samples. The dataset contains: Common Rust (960), Leaf Blight (783), Leaf Spot (944), Streak Virus (1,890), and Healthy (199). All images are in JPEG format with standardized resolution, intended for training and benchmarking deep learning models for plant disease detection.

The RL-NST implementation code is available at: https://github.com/kanch-git/RL-NST/

Abstract

A dataset for classification of corn or maize plant leaf diseases

About this dataset

Corn is one of the largest food crops after rice. This plant has high productivity and wide usability. Corn plants can grow well even in hot and cold weather with good irrigation support. Throughout the corn plant's life cycle from seed to seed, each part of the corn plant is sensitive to a number of diseases, especially in the leaf area, which causes a decrease in both quantity and quality of the yield. This data was collected directly from a corn field with an area of approximately 10 hectares owned by the Department of Agriculture in Polagan Village, Sampang District and combine it with data from Corn-or-maize-leaf-disease. The image data was captured using a mobile phone camera with a resolution of 16 MegaPixels. The images were taken with special treatment during the photo shoot, by placing white paper behind the corn leaves to facilitate classification and avoid interference from other objects. The images were taken 5 times for each corn leaf. The photo shoots were conducted during daytime (12 PM - 2 PM WIB) to ensure good lighting conditions. The data used consists of RGB image data with a total of 4000 images, with each class containing 1000 data points. There are 4 classes in the data: Healthy leaves, Leaf blight, Leaf spot, and Leaf rust. Data labeling was performed by representatives of the Department of Horticulture and Plantation Agriculture in Sampang Regency, and the data was validated with a signed statement by the coordinator of POPT (Plant Pests and Diseases Observation) in Sampang Regency.

Acknowledgements

If you use this dataset in your academic research, please credit the authors.

Maize Leaf Dataset: The maize leaf dataset comprises field-collected orexperiment-sourced images of maize leaves, annotated with labels indicating their health status and the presence of diseases such as Cercospora Leaf Spot (CGLS), Common Rust (CR), and Northern Leaf Blight (CNLB). The dataset reflects diverse field conditions, capturing variations in lighting, angle, and plant development phases. It includes 282 images of CGLS, 538 of CR, and 342 of CNLB. These comprehensive annotations and real-world conditions make the dataset highly applicable for developing and evaluating robust disease detection models.

Special thanks to:

https://www.kaggle.com/datasets/smaranjitghose/corn-or-maize-leaf-disease-dataset

Citations: Singh D, Jain N, Jain P, Kayal P, Kumawat S, Batra N. PlantDoc: a dataset for visual plant disease detection. InProceedings of the 7th ACM IKDD CoDS and 25th COMAD 2020 Jan 5 (pp. 249-253).

J, ARUN PANDIAN; GOPAL, GEETHARAMANI (2019), “Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network”, Mendeley Data, V1, doi: 10.17632/tywbtsjrjv.1

Maize Leaf & Disease

## Overview

Maize Leaf & Disease is a dataset for instance segmentation tasks - it contains Maize Blight annotations for 330 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset contains images of multiple types of crop leafs with both healthy and diseased samples. The dataset is designed for plant disease detection, classification, and deep learning applications in agriculture.

Crops Covered: Corn, Potato, Rice, Tomato, Cashew Categories: Healthy and diseased leafs Data Format: JPG images, organized by crop and disease type Total Images: 6895 Image Resolution: 400 × 400

Dataset

This dataset was created by Ankush Kashyap

Released under MIT

Contents

Northern Corn Leaf Blight

## Overview

Northern Corn Leaf Blight is a dataset for object detection tasks - it contains Northern Corn Leaf Blight annotations for 984 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Source Raw Data More Information ::

PlantVill dataset,PlantVillage dataset,https://www.kaggle.com/datasets/mohitsingh1804/plantvillage PlantVillage-AD (Augmented Dataset)

Shuvo Kumar Basak. (2025). Plant Village Augmented Dataset New and Update Tec [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/11077233

The Plant Village Augmented Dataset is an enhanced version of the original PlantVillage dataset, designed to provide a more diverse and comprehensive collection of images for plant disease detection. This augmented dataset includes a variety of image processing techniques, such as edge enhancement, noise addition, and transformations like rotation, flipping, and scaling. It also incorporates adjustments to brightness, contrast, and saturation, helping to simulate real-world conditions and improve model robustness. The dataset contains images of healthy and diseased plant leaves across multiple species, making it ideal for training and evaluating machine learning models for plant health monitoring and disease classification.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15408835%2F9ad4aea3445f6e43b5a6f5e7981f8e06%2F_results_2_0.png?generation=1742438764723367&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15408835%2F71166fe9ca1c6a2c33d9d4d1b5cbcac1%2F_results_7_0.png?generation=1742438779439472&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15408835%2F5fbd37c9a81a927e72eba6b1bed1a315%2F_results_5_0.png?generation=1742438798463325&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15408835%2F0f151b595e4a5e1d4d89f9a87c03ac63%2F_results_4_0.png?generation=1742438810704589&alt=media" alt="">

Source Raw Data More Information ::

https://www.kaggle.com/datasets/mohitsingh1804/plantvillage PlantVill dataset,PlantVillage dataset,https://www.kaggle.com/datasets/mohitsingh1804/plantvillage PlantVillage-AD (Augmented Dataset)

Shuvo Kumar Basak. (2025). Plant Village Augmented Dataset New and Update Tec [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/11077233

**More Dataset:: ** https://www.kaggle.com/shuvokumarbasak4004/datasets

…………………………………..Note for Researchers Using the dataset………………………………………………………………………

If you use this dataset for your research or academic purposes, please ensure to cite this dataset appropriately. If you have published your research using this dataset, please share a link to your paper. Good Luck.

Healthy Corn Leaf

## Overview

Healthy Corn Leaf is a dataset for object detection tasks - it contains Leaf Disease annotations for 1,000 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Corn Leaf Diseases Annotation

## Overview

Corn Leaf Diseases Annotation is a dataset for instance segmentation tasks - it contains Leaf annotations for 2,142 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).