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Leaf Data Set
Download: Data Folder, Data Set Description

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.

Data Set Characteristics:  

Multivariate

Number of Instances:

340

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

16

Date Donated

2014-02-24

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

144411

Source:

This dataset was created by Pedro F. B. Silva and André R. S. Marçal 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


Relevant Papers:

N/A



Citation Request:

The data included can be used for research and educational purposes only. All publications using this dataset should cite the following paper:
'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.

Supported By:

 In Collaboration With:
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