minibeans: Dry Beans Dataset
In ggEDA: Turnkey Visualisations for Exploratory Data Analysis
minibeans R Documentation
Dry Beans Dataset
Description
A subsample of the Koklu & Ozkan (2020) dry beans dataset produced by
imaging a total of 13,611 grains from 7 varieties of dry beans.
The original dataset contains 13,611 observations, but here we include a
random subsample of 1000.
Usage
minibeans
Format
minibeans
A data frame with 1000 rows and 17 columns:
- Area
The area of a bean zone and the number of pixels within its boundaries.
- Perimeter
Bean circumference is defined as the length of its border.
- Major axis length
The distance between the ends of the longest line that can be drawn from a bean.
- Minor axis length
The longest line that can be drawn from the bean while standing perpendicular to the main axis.
- Aspect ratio
Defines the relationship between L and l.
- Eccentricity
Eccentricity of the ellipse having the same moments as the region.
- Convex area
Number of pixels in the smallest convex polygon that can contain the area of a bean seed.
- Equivalent diameter
The diameter of a circle having the same area as a bean seed area.
- Extent
The ratio of the pixels in the bounding box to the bean area.
- Solidity
Also known as convexity. The ratio of the pixels in the convex shell to those found in beans.
- Roundness
Calculated with the following formula: (4piA)/(P^2).
- Compactness
Measures the roundness of an object: Ed/L.
- ShapeFactor1
Shape factor 1.
- ShapeFactor2
Shape factor 2.
- ShapeFactor3
Shape factor 3.
- ShapeFactor4
Shape factor 4.
- Class
Seker, Barbunya, Bombay, Cali, Dermosan, Horoz, and Sira.
Source
Koklu, M, and IA Ozkan. 2020. Multiclass Classification of Dry Beans Using Computer Vision and Machine Learning Techniques. Computers and Electronics in Agriculture, 174: 105507. doi: 10.1016/j.compag.2020.105507, https://doi.org/10.24432/C50S4B
ggEDA documentation built on Sept. 9, 2025, 5:45 p.m.
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| minibeans | R Documentation |
Dry Beans Dataset
Description
A subsample of the Koklu & Ozkan (2020) dry beans dataset produced by imaging a total of 13,611 grains from 7 varieties of dry beans. The original dataset contains 13,611 observations, but here we include a random subsample of 1000.
Usage
minibeans
Format
minibeans
A data frame with 1000 rows and 17 columns:
- Area
The area of a bean zone and the number of pixels within its boundaries.
- Perimeter
Bean circumference is defined as the length of its border.
- Major axis length
The distance between the ends of the longest line that can be drawn from a bean.
- Minor axis length
The longest line that can be drawn from the bean while standing perpendicular to the main axis.
- Aspect ratio
Defines the relationship between L and l.
- Eccentricity
Eccentricity of the ellipse having the same moments as the region.
- Convex area
Number of pixels in the smallest convex polygon that can contain the area of a bean seed.
- Equivalent diameter
The diameter of a circle having the same area as a bean seed area.
- Extent
The ratio of the pixels in the bounding box to the bean area.
- Solidity
Also known as convexity. The ratio of the pixels in the convex shell to those found in beans.
- Roundness
Calculated with the following formula: (4piA)/(P^2).
- Compactness
Measures the roundness of an object: Ed/L.
- ShapeFactor1
Shape factor 1.
- ShapeFactor2
Shape factor 2.
- ShapeFactor3
Shape factor 3.
- ShapeFactor4
Shape factor 4.
- Class
Seker, Barbunya, Bombay, Cali, Dermosan, Horoz, and Sira.
Source
Koklu, M, and IA Ozkan. 2020. Multiclass Classification of Dry Beans Using Computer Vision and Machine Learning Techniques. Computers and Electronics in Agriculture, 174: 105507. doi: 10.1016/j.compag.2020.105507, https://doi.org/10.24432/C50S4B
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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