leaf
OpenML dataset with id 1482
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/1590827/leaf.arff
Upload date: 22 May 2015
Dataset Characteristics
Number of classes: 30
Number of features: 16 (numeric: 15, symbolic: 1 and in total binary: 0 )
Number of instances: 340
Number of instances with missing values: 0
Number of missing values: 0
Author: Pedro F.B. Silva, Andre R.S. Marcal, Rubim M. Almeida da Silva
Source: UCI
Please cite: 'Evaluation of Features for Leaf Discrimination', Pedro F.B. Silva, Andre R.S. Marcal, Rubim M. Almeida da Silva (2013). Springer Lecture Notes in Computer Science, Vol. 7950, 197-204.
Abstract:
This dataset consists in a collection of shape and texture features extracted from digital images of leaf specimens originating from a total of 40 different plant species.
Source:
This dataset was created by Pedro F. B. Silva and Andre R. S. Marcal using leaf specimens collected by Rubim Almeida da Silva at the Faculty of Science, University of Porto, Portugal.
Data Set Information:
For further details on this dataset and/or its attributes, please read the 'ReadMe.pdf' file included and/or consult the Master's Thesis 'Development of a System for Automatic Plant Species Recognition' available at [Web Link].
Attribute Information:
1. Class (Species)
2. Specimen Number
3. Eccentricity
4. Aspect Ratio
5. Elongation
6. Solidity
7. Stochastic Convexity
8. Isoperimetric Factor
9. Maximal Indentation Depth
10. Lobedness
11. Average Intensity
12. Average Contrast
13. Smoothness
14. Third moment
15. Uniformity
16. Entropy
This page was built for dataset: leaf
