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Corn Leaf Infection Dataset

422511817
Tagagriculture
Taskobject detection
Release YearMade in 2020
Licenseunknown

Introduction #

Ramkrishna Acharya

The Corn Leaf Infection Dataset is compiled from cornfields and contains images of corn leaves that have been partially affected by pests such as the Fall Armyworm. These images were captured from ground level using Samsung Galaxy J2 and Samsung Galaxy A30 smartphones, with an average image size of 3000 by 3500 pixels. The dataset comprises over 4,000 images of both infected and non-infected leaves.

Dataset LinkHomepageDataset LinkBlog PostDataset LinkGitHub

Summary #

Corn Leaf Infection Dataset is a dataset for object detection and classification tasks. Possible applications of the dataset could be in the agricultural industry.

The dataset consists of 4225 images with 11596 labeled objects belonging to 1 single class (infected leaf).

Images in the Corn Leaf Infection dataset have bounding box annotations. There are 2000 (47% of the total) unlabeled images (i.e. without annotations). There are no pre-defined train/val/test splits in the dataset. Alternatively, the dataset could be split into 2 classification sets: infected (2225 images) and healthy (2000 images). The dataset was released in 2020.

Dataset Poster

Explore #

Corn Leaf Infection dataset has 4225 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
OpenSample annotation mask from Corn Leaf InfectionSample image from Corn Leaf Infection
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Have a look at 4225 images
Because of dataset's license preview is limited to 12 images
View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Search
Rows 1-1 of 1
Class
γ…€
Images
γ…€
Objects
γ…€
Count on image
average
Area on image
average
infected leafβž”
rectangle
2225
11596
5.21
14.6%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Search
Rows 1-1 of 1
Class
Object count
Avg area
Max area
Min area
Min height
Min height
Max height
Max height
Avg height
Avg height
Min width
Min width
Max width
Max width
infected leaf
rectangle
11596
2.81%
81.85%
0%
1px
0.03%
3393px
99.55%
394px
15.71%
1px
0.02%
3278px
100%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Spatial Heatmap

Objects #

Table contains all 11596 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Search
Rows 1-10 of 11596
Object ID
γ…€
Class
γ…€
Image name
click row to open
Image size
height x width
Height
γ…€
Height
γ…€
Width
γ…€
Width
γ…€
Area
γ…€
1βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
155px
6.33%
366px
11.21%
0.71%
2βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
312px
12.75%
340px
10.42%
1.33%
3βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
264px
10.78%
846px
25.92%
2.8%
4βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
271px
11.07%
485px
14.86%
1.64%
5βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
264px
10.78%
460px
14.09%
1.52%
6βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
185px
7.56%
362px
11.09%
0.84%
7βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
249px
10.17%
568px
17.4%
1.77%
8βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
155px
6.33%
482px
14.77%
0.94%
9βž”
infected leaf
rectangle
infected_20200701_085039.jpg
2448 x 3264
342px
13.97%
212px
6.5%
0.91%
10βž”
infected leaf
rectangle
infected_20200701_090953.jpg
2448 x 3264
297px
12.13%
418px
12.81%
1.55%

License #

License is unknown for the Corn Leaf Infection Dataset dataset.

Source

Citation #

If you make use of the Corn Leaf Infection data, please cite the following reference:

Acharya, R. (October 2020) 
Corn Leaf Infection Dataset, Version 1. 
Retrieved October 2020 from https://www.kaggle.com/qramkrishna/corn-leaf-infection-dataset

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-corn-leaf-infection-dataset-dataset,
  title = { Visualization Tools for Corn Leaf Infection Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/corn-leaf-infection-dataset } },
  url = { https://datasetninja.com/corn-leaf-infection-dataset },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { mar },
  note = { visited on 2024-03-05 },
}

Download #

Please visit dataset homepage to download the data.

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